How to Build a Local Value Score Without Starting a Partisan Firefight

How to Build a Local Value Score Without Starting a Partisan Firefight

by Braden Kelley and Art Inteligencia

In the first piece in this series, we lit the spark: absolute spending debates rarely move the needle, while peer-relative value, what similar communities achieve per dollar, can. This article opens the instrument. Not the full DIY toolkit yet. The method. The experience architecture. The discipline that turns civic anger into civic learning.

From spark to instrument

Innovation without an instrument is just a mood. Human-centered change without a shared unit of sense-making becomes another round of tribal theater. If you felt the first article land – What If You Could Prove the Government is Ripping Us Off? – the next question is practical:

How do we score a place fairly enough that good-faith people on the left, right, and exhausted middle can argue about the same dashboard?

That is an experience-design problem before it is a political problem. People cannot improve what they cannot sense. So we need an interface for civic value that ordinary neighbors can understand in under two minutes, and that a finance director can challenge without inventing motives.

Call the instrument a Relative Value Score (RVS): a transparent, peer-normalized view of outcomes per cost-adjusted dollar, with a clear path to “why the gap.” The revolutionary move is not inventing a grade that flatters your side. It is building a comparison citizens trust enough to use in budget season.

What a Relative Value Score actually measures

A Relative Value Score is not “how big is the budget?” Bigger places spend more. Harder case mixes cost more. Expensive labor markets pay more. Treating raw spend as proof of compassion, or of waste, is how we keep fighting about identity instead of delivery.

Conceptually:

RVS ≈ how close you are to the best peer in your cohort on value delivered per dollar—across a small set of outcome domains, cost-adjusted, with published weights and sources.

Think of it like comparing restaurants of the same type and price band on food quality per dollar, not comparing a food truck to a banquet hall and declaring a winner by total receipts. Futurology loves flashy national indexes. Experience design prefers local instruments that feel fair in the neighborhood where life is actually lived.

Three design rules keep the score human-centered:

  • Outcomes over optics. Prefer measurable delivery (response times, learning growth, pavement condition, permit latency, unit cost of capital) over press-release volume.
  • Cost-adjusted dollars. Adjust for regional price and wage differences so “expensive place” is not automatically “bad place.”
  • Relative, not absolute holiness. Normalize within the peer cohort. The best peer becomes the teacher. Everyone else gets a gap to close—or explain.

Improper payments, fraud risk, and opaque grantee chains still matter. They belong on a related but separate track (more below). Mixing “inefficient” with “corrupt” in one opaque number is how movements lose the room on the first contested claim.

Peers first: the fairness engine

Most “benchmarking” fails before the math starts—because the peer set is a vibes playlist. Comparing a dense coastal city to a rural county, or a high-poverty district to an affluent one using unadjusted test levels, is not accountability. It is ammunition.

Peer cohorts are the fairness engine. Build them first. Argue about them in public. Version them. That is change leadership: put the contested assumptions where people can see them.

Practical cohort dimensions by layer:

  • Cities: population band, density, metro/rural context, regional price/wage index.
  • Counties: population, urban share, mandate set (courts, jails, public health, roads, elections).
  • States: population scale, economic mix, federal transfer share—used carefully; states are multi-product machines.
  • School districts: enrollment, % students in special education / English learners / free-or-reduced lunch (or equivalent need measures), urbanicity, regional educator wages. Prefer learning growth / value-add over raw proficiency levels whenever possible.
  • Water and special districts: service population, infrastructure age/type, treatment complexity, geography—unit cost of delivered service beats “total budget” every time.

A good peer set is small enough to be intelligible and large enough that one outlier cannot redefine “normal.” Publish who is in the cohort and why. Invite the entity to propose alternate peers with evidence. Right-to-reply is not weakness. It is how trust compounds.

Domains, weights, and the “why the gap” story

Do not boil the ocean. Innovation teams ship thin slices. For a first local scorecard, pick 8–12 metrics max across a few domains—not 200 indicators nobody reads.

Example domain shapes (customize by entity type):

  • Service delivery: outcomes or service quality per dollar or per FTE (clearance, response, throughput, condition).
  • Administrative load: central office / admin share versus program or instructional spend.
  • Labor intensity: compensation density (payroll, overtime, benefits where available) versus outputs.
  • Contracting & capital: competitive bid share, concentration, unit cost and schedule slippage on comparable projects.
  • Transparency: timely CAFRs/budgets, machine-readable checkbooks, FOIA latency—inputs to trust, not vanity.

Weights should be public, few, and revisable. Publish a default weighting, and let citizens toggle sensitivity modes (“weight learning growth higher,” “weight admin share higher”) so critics can fork the story without assassinating the messenger. That is open innovation applied to civic sense-making.

The score is the headline. The product is the “why the gap” decomposition: which 2–3 drivers explain most of the distance from the best peer, each with sources and confidence. Without that story, a score is just a ranking for dunking. With it, a score becomes a change agenda.

Two tracks: performance vs. integrity

Human-centered accountability refuses false equivalence. A district can be expensive relative to peers and still honest. An agency can look “lean” on paper and still run integrity red flags. Smash those into one “corruption score” and you have built a weapon, not an instrument.

Keep two panels on the same dashboard:

  • Performance track (RVS): peer-relative outcomes per cost-adjusted dollar. This is the main civic interface.
  • Integrity overlay: audit findings, delayed reporting, sole-source patterns, related-party flags, outcome-light grantee chains—shown with higher evidentiary bars, source documents, and room to reply. Treat AI here as a highlighter for human review, never as a judge pronouncing guilt.

This separation is how a multipartisan movement survives contact with reality. Precision is the revolutionary ethic. Smear is the cheap substitute.

A weekend walkthrough for one jurisdiction

You do not need the full toolkit to practice the method. You need a first mile. Here is a human-sized walkthrough you can start this weekend—before the downloadable suite and guidebooks ship.

  • 1. Name the entity in one sentence. “Our K–12 district,” “our city general fund,” “our water district”—passion plus a border beats rage at “the system.”
  • 2. Pull Tier-A documents. Latest adopted budget, CAFR or annual financial report, salary schedule or checkbook export, and any published outcomes dashboards. Note what is missing.
  • 3. Draft a peer shortlist. Five to fifteen similars using the cohort dimensions above. Write one paragraph defending the set.
  • 4. Choose eight metrics you can source. Prefer unit costs and outcomes over vibes. If a metric cannot be sourced, park it—do not invent it.
  • 5. Build a crude gap view. For each metric, who is best in your peer set? Where are you? What is the story in two drivers?
  • 6. Separate integrity notes. If you see red flags, log them with links and confidence—not as the score itself.
  • 7. Write three budget-season questions. Short enough for a three-minute public comment. Specific enough that staff must answer on the record.

That walkthrough is reconnaissance, not a finished product. Finished products need versioned methods, entity right-to-reply, and consistent cohort rules. That is exactly what the forthcoming DIY tools and role-based guidebooks are for—so local teams are not reinventing discipline in the dark.

What comes next—and how to stay in formation

Method without movement is a PDF nobody uses. Movement without method is a mob with a megaphone. We are building both: open instruments for peer-relative value, and a network of roles—data gatherers, benchmarking intelligence creators, website hosts, promoters, meeting advocates, media partners—who can stand up local scoreboards when the kits are ready.

In the next pieces in this series, we will walk a single jurisdiction end-to-end as a chapter-lead story, then open the downloadable suite: data gathering, careful AI-assisted processing under human guardrails, and public benchmarking sites neighbors can actually use.

Between method and toolkit, stay on the bus.

If this article sharpened your sense of how fair comparison should work, subscribe to Human-Centered Change & Innovation Weekly. That list is how you get first notice when the guidebooks and DIY tools move from spark to usable firepower—practical next steps for the jurisdiction and role you choose.

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Forward this to the person who already knows the peer set in their head—and to the person who keeps saying the comparison “isn’t fair” without ever defining fair. Fairness is designable. That is the work.

Absolute spend is a slogan. Peer-relative value is an instrument. Instruments are how human-centered futures get built.

Frequently Asked Questions

What is a Relative Value Score (RVS)?

A Relative Value Score is a peer-normalized measure of outcomes per cost-adjusted dollar for a city, county, state, school district, or special district. It shows how close an entity is to the best performer among similar peers across a small set of transparent metrics—not whether its total budget is large or small in absolute terms.

How do you choose fair peers for comparison?

Fair peers share similar constraints: size and density for cities; mandate mix for counties; enrollment and student-need mix plus regional wages for school districts; service population and infrastructure profile for water and special districts. Publish the cohort rules, keep the set large enough to be meaningful, and allow entities to propose alternate peers with evidence. Unadjusted “leaderboards” that ignore poverty or cost of living are not fair benchmarks.

Should fraud and performance be one score?

No. Keep a performance track (peer-relative value) separate from an integrity overlay (audits, delayed reporting, sole-source patterns, opaque grantee chains) that requires stronger evidence and human review. Combining them into one “corruption score” destroys credibility and unfairly smears underperforming but honest agencies.

Image Credits: Pexels

Content Authenticity Statement: The topic area, key elements to focus on, etc. were decisions made by Braden Kelley, with a little help from Cursor to clean up the article.

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Focus on Delivering Your Customers’ Desired Outcomes, Not Delighting Them

Focus on Delivering Your Customers' Desired Outcomes, Not Delighting Them

GUEST POST from Geoffrey Moore

Now, let me be clear. I have nothing against delight. But the notion that it should be the goal of a business to delight its customers is folly. Delight, after all, is an evanescent experience that comes and goes pretty much as it pleases. It cannot be reliably evoked. More importantly, your customers, and particularly your B2B customers, are not paying you in order to be delighted. Indeed, while ostensibly they are purchasing your products and services, what they really want to buy is outcomes.

As Ted Levitt taught many years ago, while a customer may need to buy a quarter-inch drill, what they really want to buy is a quarter-inch hole. A successful sales campaign, therefore, starts with getting clarity on what outcomes constitute success. This is harder than it sounds. Success is seen very differently from the perspectives of the executive sponsor, the department manager, the end user, the technical specialist, the CIO, and the CFO. All six of these have a stake in the game, and you will need their support to establish an enduring relationship.

Now, to be fair, a lot of business as usual doesn’t call for executive attention because inertial momentum is already on the side of the desired outcomes. It’s when the customer needs to change the status quo that we need to develop a multi-stakeholder current-state/future-state roadmap for success. So, let’s imagine you are in the IT industry and you are looking to land a major new account. What kind of a journey would that entail?

  • The Executive Sponsor. The process starts with engaging the executive sponsor in a discussion of the current state of their business, what potential future state they may have in mind, and what “value traps” are impeding their progress. In this discussion you have the opportunity to demonstrate genuine intellectual curiosity about the dynamics of their company and industry and to propose connections between your offerings and their aims. The deeper this conversation goes, the bigger the opportunity space becomes. This, in other words, is where five-figure deals can become six-figure, and six-figure deals become seven-figure, for the outcome the executive sponsor really wants is to move the big rocks, not just to smooth out the gravel.
  • The Department Manager. Department managers, on the other hand, are up to their ankles in gravel and they need your help to deal with it. Once again, engaging them in an intellectually curious conversation about their value traps allows you to identify the outcomes that will make a real difference and to make sure you highlight them in your proposal and prioritize them in your implementation. The outcome department managers want is productivity improvement for their team, as measured by faster response times, better quality, and greater throughput. The executive sponsor supports this sort of thing, but they have delegated it to the department manager, and so do not need to be directly involved.
  • The End Users. The end users who work for the department manager are the ones whose behavior you will directly impact and whose buy-in you must secure. The outcomes they seek are improvements in their personal effectiveness and efficiency. Most frequently they are looking for relief from mundane repetitive tasks that a smarter system would just do for them in the background. “Free me from the stupid stuff!” might be their battle cry. With the rise of RPA (Robotic Process Automation), complemented now with GenAI (Generative AI), this is becoming increasingly feasible to deliver. One thing to remember with end-user communities, however, is that they mirror the Technology Adoption Life Cycle in miniature, meaning they are comprised of enthusiasts, visionaries, pragmatists, conservatives, and skeptics. Each profile defines successful outcomes in very different terms, so the Customer Success team needs to identify the adoption profile of the individual they are working with before they go about prescribing tactics for meeting their needs.
  • The Technical Specialist. It is not until you get to the technical specialist that you find anyone who is really interested in your product. This, in other words, is the first person who actually wants to see your demo. Demoing to any of the prior three stakeholders is typically a waste of time, at least until you can tune the demo to highlight the outcome they seek. But with technical specialists, it is critical to your success. They are often the ones who get to make the call between competing products that have roughly the same functionality, and you need expertise in both yours and the competitors’ offers so you can answer their questions with authority. A successful outcome for this stakeholder is to have a high-performing product to support.
  • The CIO. The CIO has bigger fish to fry, and once again, you need to be sensitive to where they sit in the Technology Adoption Life Cycle. Visionaries who drive digital transformation will care a ton about platforms to support the future and be desperate to free themselves from the technical debt of legacy systems. Success for them is a next-generation infrastructure that can help modernize their company’s operating model, and they will move heaven and earth to get it. Pragmatists can have similar goals but will want to proceed more methodically, looking for predictable outcomes that come in on spec, on time, and on budget, as confirmed by customer references that are in production. Meanwhile, conservatives are secretly hoping they can just pass this baton to their successor, and skeptics will simply dig in their heels.
  • The CFO. The CFO is likely to view success in terms of verifiable ROI, yet again with a Technology Adoption Life Cycle wrinkle. Conservative CFOs will be looking for “hard dollar” savings—direct reductions in out-of-pocket costs. Pragmatic CFOs will look beyond these to include “soft dollar” savings from productivity gains in throughput, cycle time, and quality. Visionary CFOs (and, yes, there are such folk) look beyond this for step-function changes in competitive advantage that would change the multiple of their stock price. What unites all of the above is that all these success outcomes have some flavor of “Show me the money!”
  • The Account Plan. As sales teams well know, every account plays out in its own unique ways, but we can do our best to nudge it toward our goals. This starts with prioritizing the importance of our six stakeholders with respect to the buying decision on the table. If we have to create or redirect budget, then we need to call high, but if we are simply looking to consume budget, then we need to focus on the middle management instead. So, as an account manager, get your team to rank order the six stakeholders and then focus your efforts on the top two or three.

With respect to those top targets, the next step is to get the team to agree on their Technology Adoption profile. This is super important because you only get a limited amount of attention from any of these folks, and you don’t want to waste cycles on messages that won’t land.

Third, once you get a realistic sense of the outcome that are driving the sales cycle from the customer’s point of view, you need to differentiate your proposal both by calling them out as key goals and then customizing your offer to ensure they will get achieved.

All in all, it’s not rocket science, but it does require patience, and most of all, it calls for you to genuinely engage with the target personas to develop a differentiating understanding of what they are really after.

That’s what I think. What do you think?

— Image credit: Pexels

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What Does a Customer Experience Audit Cost?

What Does a Customer Experience Audit Cost?

by Braden Kelley and Art Inteligencia

This is usually the last question someone asks before they’re ready to move forward, which means it deserves a direct answer rather than the consultant’s reflex of “it depends.” It does depend — but on a small, specific set of factors, and I’d rather walk you through exactly what they are than make you guess.

The honest answer: it scales with scope, not with company size

The biggest misconception I run into is that audit cost tracks with company revenue or headcount. It doesn’t, directly. It tracks with the shape of the journey being audited: how many distinct touchpoints are in scope, how many channels the experience spans (in-person, phone, web, app, in some combination), and how many stakeholder groups need to be interviewed to understand the journey from more than one angle. A single-channel, single-audience journey for a mid-size company can cost less than a sprawling omnichannel journey for a smaller one, if the omnichannel journey is genuinely more complex to walk.

The five activities that drive cost

  1. Audience research and persona validation. Every audit starts by identifying your distinct audience segments and validating their journeys against current reality — surfacing the needs, expectations, and pain points that internal assumptions have obscured. One clearly-defined audience is a much faster starting point than four segments that each need their own research and validation pass, and this is usually the first scope decision worth making deliberately.
  2. Journey mapping and touchpoint analysis. From there, we create or update persona-based journey maps — identifying key touchpoints, pain points, emotional highs and lows, and improvement opportunities across every relevant channel. A journey with four or five touchpoints in a single channel maps far faster than one spanning fifteen touchpoints across phone, web, app, and in-person combined.
  3. Existing data evaluation. Your current KPIs, NPS scores, CSAT data, and sentiment analysis get analyzed for the patterns, gaps, and untapped insights that current reporting isn’t surfacing. How much historical data you already have — and how much of it is usable versus scattered across disconnected systems — changes how much work this step takes before it produces anything actionable.
  4. Walking the journey. This is where key touchpoints get evaluated firsthand — retail locations, digital channels, service calls, sales cycles, in B2B and B2C contexts alike — and it’s typically where an audit finds its most surprising and valuable insights. It’s also usually the most time-intensive of the five activities, because it’s genuine fieldwork rather than analysis of what already exists, and cost scales directly with how many touchpoints and channels get walked in person versus reviewed through documentation alone.
  5. Competitive benchmarking. Benchmarking your experience performance against select competitors and best-in-class examples shows not just where you stand, but how far you are from where you need to be. This one is genuinely optional depending on your goals — skipping it keeps the engagement focused purely on your own gaps, while including it adds real value when you specifically need to know how you compare to the alternatives your customers are weighing.

Timeline compresses or expands the cost of all five at once: doing them in two weeks instead of six doesn’t reduce the work, it concentrates it, usually by putting more people on it in parallel. If you have flexibility on timeline, it’s often the easiest lever to pull to manage overall cost.

The number that actually matters more than the price

Cost in isolation is the wrong comparison. The comparison that matters is cost against what the friction is currently costing you in retained revenue, referral loss, and cost to serve — because that’s the number an audit is designed to protect. If you haven’t run that comparison yet, the CX ROI Calculator will give you a real figure in a few minutes, and it’s the right first step before a cost conversation, not after it. A number that’s larger than the audit’s cost is the fastest way to know the conversation is worth having at all.

Getting an actual number

Because cost depends on the scope decisions above, and those decisions are specific to your journey and your goals, the accurate way to get a real figure is a short scoping conversation rather than a published price list that would be wrong for most people who read it. If you’re at the point of wanting that conversation, the audit page has the details on how an engagement runs, and I’m glad to talk through scope and a realistic estimate directly.

Customer Experience Audit Learn More

Image Credits: Gemini

Content Authenticity Statement: The topic area, key elements to focus on, etc. were decisions made by Braden Kelley, with a little help from Claude to clean up the article.

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What If You Could Prove the Government is Ripping Us Off?

What If You Could Prove the Government is Ripping Us Off?

by Braden Kelley and Art Inteligencia

We are living through a crisis of civic experience. People can feel that they’re being ripped off by their elected and administrative officials, but yet they lack a fair way to prove it. The future will not be built by louder arguments alone. It will be built by better comparisons: value delivered per dollar, relative to peers who look like us. That is the spark for a human-centered citizen movement. First, let’s look at the scale of the problem already documented in the public record.

The bill without a receipt

Most of us do not experience government as a spreadsheet. We experience it as a journey: the permit that takes months, the school board meeting that buries tradeoffs in jargon, the water bill that climbs while the story never quite lands. That journey is the real product. And if experience design has taught us anything, it is this: when the interface of truth is broken, people do not get smarter by trying harder, they get cynical.

Cynicism is not a character flaw. It is a rational response to incomplete design.

We are asked to fund systems whose performance is rarely presented in the only language that makes human comparison fair: what does a place like mine get for money like mine?

Imagine, just for a moment, learning that a school district with a nearly identical enrollment mix educates children with far less administrative drag and better learning growth per instructional dollar. Or that a peer city issues permits, paves roads, or clears cases at a cost structure that cannot be waved away with “we’re special.” That is not a conspiracy theory. That is a design question. Design questions can be answered, if we stop accepting fog as a management strategy.

Before we build the instruments of peer comparison, we have to stop understating what already leaks, bloats, and under-delivers in plain sight. Innovation begins with facing reality, not romanticizing it.

The scale hiding in plain sight

If this were only a few bad actors and a few delayed audits, a nice annual report and a press release would be enough. The public record says otherwise. What we are looking at is a systems problem: structural error and theft measured in hundreds of billions; spending that sprints past simple population-and-inflation baselines; and institutions whose staffing mix drifts toward administration while the work citizens think they are buying becomes relatively thinner.

Let’s start at the federal level, not because your city council or school board is less important, but because the national numbers are large enough that denial starts looking like a lifestyle choice.

The U.S. Government Accountability Office (GAO) estimated that direct annual financial losses to the federal government from fraud fall between roughly $233 billion and $521 billion a year, based on fiscal years 2018–2022 risk environments (GAO-24-105833 highlights; full report: PDF). That is not a rounding error. That is a second economy of loss living inside the first.

Then there are improper payments – the broader leak that includes overpayments, underpayments, documentation failures, and more. Agencies reported about $236 billion in improper payments in fiscal year 2023 (GAO FY2023 overview) and still about $162 billion in fiscal year 2024 after some pandemic programs wound down (GAO FY2024 press release; GAO-25-107753 PDF). Cumulative improper-payment estimates since fiscal year 2003 approach about $2.8 trillion (see GAO-25-107753). Earlier in the same stretch: roughly $281 billion in FY2021 (GAO) and $247 billion in FY2022 (GAO).

Let’s be clear, as any honest change leader must be: improper payments are not all intentional fraud. But they are the proof that our control experience is broken. If you cannot reliably send the right money to the right place, you do not have a “communications” problem. You have a design problem.

Bar chart of federal improper payment estimates for FY2021 through FY2024, declining from roughly $281 billion to $162 billion but remaining very large.

Federal agency-reported improper payment estimates remain measured in hundreds of billions even after the pandemic peak. Sources:
GAO FY2021 (~$281B);
GAO FY2022 (~$247B);
GAO FY2023 (~$236B);
GAO FY2024 (~$162B).
Scale of loss is one window. Scale of spend is another. Total federal net outlays rose from roughly $3.5 trillion in fiscal year 2014 to roughly $6.7 trillion in fiscal year 2024 – nearly a doubling in a decade in nominal dollars, with the pandemic rewriting the shape of the curve. Those figures come from the U.S. Office of Management and Budget historical outlay series published via the Federal Reserve Bank of St. Louis as FRED series FYONET, with the broader tables at OMB Historical Tables.

More spending can mean more service, more obligations, an older population, emergencies. Futurology without humility is just sci-fi cosplay. But here is the innovation insight most public debates miss: absolute “we spent more” tells citizens almost nothing about unit cost, quality, or leakage. When the size of the system grows, the need for peer-relative instruments grows with it. Otherwise we are asking people to navigate a denser fog with the same broken map.

Bar chart showing U.S. federal net outlays rising from about $3.5 trillion in FY2014 to about $6.7 trillion in FY2024.

U.S. federal net outlays, selected fiscal years (nominal dollars). Source:
OMB Federal Net Outlays (FYONET) via FRED.
See also OMB Historical Tables.
Now bring it closer to home – for many of us, literally. Washington State’s Near General Fund–Outlook (NGF-O) operating budget grew from about $31.2 billion in the 2011–13 biennium to about $80.2 billion for 2025–27, roughly a 157% increase in nominal dollars, as laid out by the Washington Policy Center using the state’s NGF-O series. The 2023–25 NGF-O package, after the 2024 supplemental, was about $71.9 billion (Legislative Budget Notes PDF). The same analysis notes that if spending since the mid-2010s had tracked only population and inflation, today’s scale would be tens of billions lower. Growth is real. “We only kept up with costs” is a different claim. Official statewide spending trails also live at fiscal.wa.gov.

This is not a Washington-only story. It is a pattern story: when the bar chart climbs and the experience of value does not climb with it, citizens notice – even if they cannot yet prove the gap against peers.

Bar chart of Washington state Near General Fund–Outlook biennial operating budgets rising from $31.2 billion in 2011–13 to about $80.2 billion in 2025–27.

Washington NGF-O biennial operating budget scale (nominal). Sources:
Washington Policy Center NGF-O growth summary
(2011–13 ≈ $31.2B; 2025–27 ≈ $80.2B; ~157%);
2023–25 NGF-O ≈ $71.9B (Legislative Budget Notes PDF);
mid-decade ~$38B scale as described in the same WPC overview of the decade-long climb.
Then there is administrative gravity, especially in higher education, where parents still believe they are buying teaching first. The Delta Cost Project at the American Institutes for Research documented something experience designers would call a quiet interface change: as managerial and professional administrative ranks grew, the average number of faculty and staff per administrator fell by roughly 40 percent at many four-year institutions between 1990 and 2012, landing near 2.5 or fewer faculty and staff per administrator (Desrochers & Kirshstein, Labor Intensive or Labor Expensive?, 2014 (PDF); AIR press summary). Professional non-faculty roles often grew faster than full-time instructional capacity, even as campuses leaned harder on part-time instructors. The underlying institutional data ecosystem lives in IPEDS and the Delta Cost Project database.

Is every new position waste? Of course not. Human organizations need coordination. The revolutionary question is not “abolish administration.” It is: do we have a transparent, peer-relative view of what administration costs relative to learning and outcomes — or are we just hoping for the best?

Bar chart showing faculty and staff positions per administrator declining from roughly 3.3 around 1990 to about 2.3 around 2012.

Illustrative faculty-and-staff-per-administrator levels reflecting Delta Cost Project / AIR findings of roughly a 40% decline from 1990 to 2012 at many four-year campuses, averaging about 2.5 or fewer faculty and staff per administrator.
Source: Desrochers & Kirshstein (2014) PDF.
And then there is the softer, stickier problem: corruption perceptions and nonprofit “grift” that thrives in long outcome chains. In occupational-fraud cases studied by the Association of Certified Fraud Examiners (ACFE), government organizations and for-profit firms land around a median loss of about $150,000 per case, while nonprofits still show up in about one in ten cases, with smaller median losses (about $76,000) that can still wreck a thin-margin mission (Occupational Fraud 2024: A Report to the Nations (PDF)).

Here is the human-centered insight: when public dollars pass through contractors and tax-exempt intermediaries, the distance between the taxpayer’s intention and the citizen’s experience often grows. High overhead, related parties, vague deliverables, and glossy stories without unit costs are not always illegal – but they can be a failure of value design. Law can punish fraud. Only better metrics can expose underperformance that still has good branding.

Trust tracks this story. Transparency International’s Corruption Perceptions Index has scored the United States in the mid-60s out of 100 in recent years, with multi-year deterioration flagged by Transparency International U.S. (see their CPI 2025 statement (PDF)). When perceptions fall, governance gets more expensive — because every negotiation becomes theater, and every reform takes more energy to land.

So stack it up without theatrics: hundreds of billions a year in federal fraud-loss risk and improper-payment leakage; state operating budgets that can more than double across a decade and a half; staffing mixes that load coordination relative to the work many people believe they are buying; pass-through chains that hide unit economics. That is enough reason to innovate how citizens see value. It is not a license to smear every public employee. Revolutionary change worth having is precise, not performative.

Sources for the scale claims above

Why shouting about “too much spending” never ends the argument

American public argument too often collapses into two dead ends. One side treats every dollar as proof of compassion. The other treats every dollar as proof of waste. Both can be partially right, and still leave neighbors holding a slogan instead of a shared fact.

Absolute spend is a weak instrument for learning. Larger places spend more. Harder case mixes cost more. Expensive labor markets pay more without automatically proving mismanagement. When numbers ignore context, people fight about identity instead of performance. That is not governance. That is sportswashing for budgets.

Experience design offers a simpler truth: people cannot improve what they cannot sense. If the “interface” of civic truth is either opaque PDFs or cable-news moral theater, the lived journey of taxpayers becomes cynicism – then disengagement – then the quiet permission structure where bloat, under-delivery, and yes, fraud, get more time than they deserve.

The future of healthier institutions will not be won by volume alone. It will be won by better comparisons ordinary people can use without a PhD in public finance. That is human-centered change in one sentence: redesign the sense-making layer, and better action becomes possible.

A better unit of civic truth: value relative to peers

Futurology has a bad habit: it over-promises technology and under-specifies culture. Here is the cultural upgrade that matters first.

Score places the way adults already rank experiences in the rest of life, relative to alternatives that should be similar.

Peer-relative value asks a sharper question than “how much did we spend?” It asks: among entities of roughly the same size and constraints, who delivers more real outcomes per dollar – and who is the best performer we should be learning from?

That shift changes the emotional temperature of accountability. It is harder to dismiss a neighbor when the comparison is another city that looks like yours, another county with a similar mandate set, another school district with a similar student population, another water district with similar infrastructure age. The conversation stops being “are you for or against government?” and starts being “why are we so different from our best peers?”

Relative performance does not erase values. It clarifies delivery. Compassion with weak unit economics is still compassion, and also an unfinished design problem. Efficiency without outcomes is just thrift cosplay. Citizens deserve both: what was intended, and what was delivered, at a cost that survives peer daylight.

This is innovation in the classic sense: not novelty for its own sake, but a better way of creating and measuring value — at the civic layer, where most of life is still lived.

Where fraud, grift, and bloat actually hide

Serious fraud is not always cinematic. More often it is procedural: sole-source patterns that never face real competition; nonprofit pass-throughs that struggle to show outcomes while still collecting public purpose; administrative layers that expand faster than service quality; capital projects whose unit costs and schedule slips never get benchmarked against places that built something comparable; delay as a shield because documents arrive too late to matter.

This is where passion becomes useful, and where discipline becomes non-negotiable. Performance gaps and integrity red flags are not the same thing. Treating every underperforming budget line as a crime story destroys trust the first time a good-faith agency is smeared. Treating every audit as “politics” is how poor design gets tenure.

A mature citizen practice separates the tracks, think of them as three instrument panels on the same dashboard:

  • Performance: outcomes and service quality relative to cost among peers.
  • Structure: administration share, contracting concentration, salary density versus output.
  • Integrity: delayed reporting, audit findings, related-party patterns, outcome-light grantee chains—presented with sources, confidence, and room to reply.

That separation is not gentleness toward corruption. It is how legitimate pressure remains standing when the pushback arrives. Revolutions that last are the ones that can still tell the truth under scrutiny.

The future of accountability is local (and buildable)

National drama can make local work feel small. It is not. Your life is administered by boards, districts, counties, cities, and agencies that set real prices for real services within a few miles of your door. Those are also the levels where a committed group of citizens can still change the information environment in a single budget cycle.

What is newly possible, and this is the innovation hinge, is not “AI as magic.” Magic is for marketing decks. Real innovation is AI as scale applied to the boring, necessary labor of extraction, classification, plain-language briefing, and pattern spotting — always subordinated to transparent methods and primary records. The opportunity is a suite of do-it-yourself tools that a passionate local team can download, stand up, and own: gather public data, process it with clear human oversight, and publish peer benchmarks for the jurisdiction they care about.

Think of it as open experience architecture for citizenship: not a single national score imposed from above, but many local instruments speaking the same comparative language. Cities. Counties. States. School districts. Water boards and special districts. Same idea. Local ownership. Peer daylight.

Movements fail when they ask everyone to wait for a capital-city hero. They gain power when they give capable people a way to begin where they already have skin in the game—and when the path from “I care” to “I can host a public scoreboard” is designed, documented, and downloadable. That is human-centered change: remove friction between intention and action.

From spark to local firepower: what you can actually do

Enthusiasm without a next step is just another scroll. So here is the honest promise of this movement: we are building the instruments — and you choose the jurisdiction, the intensity, and the role that fits your life.

Start with a target you can describe in one sentence. Your school district. Your city budget. Your county contracting. Your state’s administrative stack. Your water or sewer or flood-control district, the special-purpose governments that spend real money while almost nobody is watching. Passion plus a defined entity beats vague anger about “the system” every time.

Then choose a depth of start that matches your week, not your fantasy of free time:

  • Weekend scout: Pull the latest budget, CAFR, or checkbook export. List the top five cost centers. Note what is missing — outcomes, headcount by function, sole-source awards. That alone is civic reconnaissance.
  • Meeting witness: Show up once a month with three peer-comparison questions written in advance. Serious questions change how staff prepare—and how journalists listen.
  • Budget-season cadence: Build a small team and a calendar tied to when appropriations still can move. That is when numbers still have opponents who can feel them.
  • Local scoreboard: When the toolkit ships, stand up a public site — data intake, AI-assisted processing under human guardrails, and peer-relative benchmarks neighbors can share without translating bureaucracy dialect.

You do not need to do everything. You need a first mile. The guidebooks we will publish will walk those miles: how to FOIA without burning out, how to structure a peer cohort fairly, how to avoid turning a performance gap into a defamation trap, how to brief a board in three minutes, how to partner with a local reporter as an ally rather than an ambush.

Lighting a fire does not mean burning institutions down. It means raising the temperature of truth until fog can no longer survive as a management strategy—and giving thousands of local teams the same matchbook.

Pick a role that fits how you show up

From the outside, movements look monolithic. From the inside, they are division of labor — just like every innovation team that ever shipped anything that mattered. You do not have to become a full-stack auditor, web host, and public speaker on the same Tuesday night. Find the work that matches your temperament. Then find one person whose temperament complements yours.

Data gatherers and custodians. You enjoy documents more than microphones. You pull budgets, salary schedules, bid awards, board packets, 990s tied to public grants. You file public-records requests, keep the source folder honest, and leave a trail so nothing depends on a single hero’s laptop. Without clean intake, every downstream score is theater.

Benchmarking intelligence creators. You want the “so what.” You define peer sets carefully, normalize costs, choose outcome metrics that survive scrutiny, and write method notes so a critic can challenge the math without inventing motives. You turn spreadsheets into stories: unit cost of pavement, administrative share of a district, permit latency per FTE, learning growth per instructional dollar — always versus true peers. When the AI processing stack is ready, this role runs it with human judgment still on the wheel.

Website hosts and local product owners. You are willing to stand something up for your community: a place where neighbors can see the score, the sources, the trends, and an invitation to correct errors. You care about reliability and clarity – not turning a civic tool into a partisan meme machine. The downloadable suite is for you: templates, deployment path, content structure—so passion is not blocked by “I don’t know how to ship a site.”

Promoters, translators, and evangelists. You are the bridge. You do not have to invent the model. You make sure it reaches PTAs, rotary clubs, neighborhood groups, faith communities, taxpayer groups, student journalists, and people who will never open a CAFR unprompted. You translate peer-relative value into plain language, share uncomfortable comparisons without contempt, and keep the movement multipartisan enough that the score—not the team jersey—remains the headline.

Meeting advocates and budget-season operators. You take the brief to the microphone. Three questions. One peer chart. A written record. You show up when the appropriation can still move. The action packs we will release are for this role: scripts, FOIA companions, and “why the gap” one-pagers for boards and councils.

Local media partners and explanation designers. You help facts travel. A retired editor, a podcast host, a newsletter writer, a visual explainer—anyone who can turn a transparent ranking into public attention that demands reply rather than rumor. Credible pressure almost always needs a second institution’s megaphone.

Tutors of the top decile. When a peer is crushing your entity on value, someone should study them without ego—procurement habits, staffing ratios, open-data practices, facility utilization, grantee outcomes. Celebrating excellence is not a side quest. It is how reform becomes copyable instead of merely shaming. That is continuous improvement in civic form.

If you have ever left a public meeting thinking, “Someone should document this properly,” there is a role with your name on it. If you can explain a hard idea at a kitchen table, there is a role. If you can keep a folder organized, there is a role. The only non-role is permanent spectator—assuming someone else will finish the counting.

From newsletter spark to the bonfire of tools

The first act of a movement is not a software download. It is a shared refusal: we will no longer treat uncompared spending as a finished explanation of life. We will learn to ask for peer-relative value. We will demand receipts ordinary people can follow. We will treat the best performers as teachers, not enemies.

The second act is capability. That is the work now underway: do-it-yourself tooling for data gathering, careful AI-assisted processing, and public benchmarking intelligence — plus a series of role-based guidebooks so data gatherers, intelligence creators, website hosts, promoters, and budget-season operators are not inventing discipline from scratch in the dark.

Between spark and bonfire, there is a simple way to stay in formation: join the people who want the heads-up when the kits go live, when the next methods article drops, and when the first local teams start publishing peer scores others can fork and improve.

If this article lit something in you, subscribe to Human-Centered Change & Innovation Weekly. Use that signup as your seat on the bus for this movement. When the downloadable tools and guidebooks are ready — beyond the idea, into usable firepower — that is how you will know first, with practical next steps you can take in the jurisdiction you choose.

Prefer the full signup page? Open the newsletter signup page.

Tell a friend who sits through the same meetings and mutters the same unfinished sentence. Forward this to the person who always says, “If someone would just pull the numbers…” Forward it to the person who already pulls numbers but has nowhere trusted to publish them. Movements scale by invitation more than by manifesto.

For now, sit with the question every zip code deserves:

What if your community pays more and gets less than its true peers — and the only reason it continues is that nobody has finished the counting?

If that question lands, you are already part of the movement. Choose a jurisdiction. Choose a role. Get on the list. We will build the matchbooks — toolkits, methods, and guidebooks — so when you are ready to strike, the fire has somewhere local, human, and bright to go.

Frequently Asked Questions

What is “peer-relative value,” and why is it better than arguing about total spending?

Peer-relative value compares what similar governments achieve per dollar — schools with similar student needs, cities of similar size and density, utilities with similar infrastructure ages — rather than treating raw budget size as proof of success or failure. It makes accountability fairer because it adjusts for context, and sharper because it points to real best performers citizens can learn from. In experience-design terms: it gives people a better interface for understanding value.

Does this approach accuse every high-spending community of fraud?

No. Serious, human-centered accountability separates performance gaps (weaker outcomes or higher unit costs than peers) from integrity red flags (audit issues, opaque grantee chains, noncompetitive contracting patterns) that require stronger evidence. Relative benchmarking creates pressure for better results; it is not a substitute for investigation, law, or due process—and it should never be used as a license to smear people who serve in good faith.

How can I get involved before the tools are fully available?

Choose one jurisdiction you care about, start basic public-record reconnaissance, and pick a role that fits how you show up — data gathering, benchmarking intelligence, website hosting, promotion, meeting advocacy, or media partnership. Subscribe to Human-Centered Change & Innovation Weekly at bradenkelley.com/contact-me/newsletter-signup/ so you are first in line when downloadable toolkits and role-based guidebooks are ready to help stand up local peer-benchmarking sites.

Image Credits: Gemini

Content Authenticity Statement: The topic area, key elements to focus on, etc. were decisions made by Braden Kelley, with a little help from Cursor to clean up the article.

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Top 10 Human-Centered Change & Innovation Articles of July 2026

Top 10 Human-Centered Change & Innovation Articles of July 2026Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are July’s ten most popular innovation posts:

  1. What Happens When AI Becomes Your Customer? — by Shep Hyken
  2. The Experience Economy 2.0 — by Braden Kelley
  3. How to Calculate the ROI of Customer Experience — by Braden Kelley
  4. Strategic Foresight: A Practitioner’s Guide to Thinking About the Future — by Braden Kelley
  5. Innovation or Not — InTruth — by Braden Kelley
  6. Innovation Framework Examples: 7 Real-World Cases That Show How They Work — by Braden Kelley
  7. The Personal AI Renaissance — by Braden Kelley
  8. Your 3 Phase AI Journey — by Geoffrey Moore
  9. Why So Much Bullshit? — by Greg Satell
  10. Creating an Innovation Edge — by John Bessant

BONUS – Here are five more strong articles published in June that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

Build a Common Language of Innovation on your team

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last five years:

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Three Facts That Business Leaders Refuse to Accept

Three Facts That Business Leaders Refuse to Accept

GUEST POST from Greg Satell

In the late 90s Fortune magazine named Enron the most innovative company for six consecutive years, right up until the company collapsed in scandal. GE’s strategy of stack ranking was seen as a model to be emulated by other firms, even though there was no evidence it worked. McKinsey advised companies to fight a war for talent.

Today, we know better. It’s obvious that Enron was incredibly dysfunctional, that stack ranking undermines a high-performance culture and that talent is something that you build through upskilling, not something you “win” in a metaphorical war. It’s mind boggling to think of all the damage that was done before those ideas were exposed.

Yet if we accept all that we need to ask ourselves which ideas are widely accepted today that don’t hold water. Every era has its own fictions, things that are accepted because they are repeated, but lack any serious foundation. They become memes replicating themselves throughout the zeitgeist, rarely being questioned. Here are three truths that will surprise you.

1. Bigger Organizations Are More Innovative

We tend to think of innovation as something startups do. Big organizations, with their bloated bureaucracies and cumbersome decision making, are less nimble. Yet a recent book, Corporate Explorer, by Stanford professor Charles O’Reilly, Harvard Professor ​​Paul Lawrence and consultant Andrew Binns finds that larger firms have more resources, talent and ideas.

This may seem surprising, but there is ample evidence supporting the principle that larger enterprises innovate more effectively. A 1969 study of local health departments found that the larger ones serving larger communities were more innovative. A 1986 analysis of footwear manufacturers found that the bigger ones had more technical specialists and adopted more radical innovation. Same thing when researchers looked at German banks’ adoption of telecommunication services.

Clearly startups have advantages. They tend to be less bureaucratic and can make decisions faster. They are also less invested in incumbent systems and technologies, which makes change easier. Yet innovation isn’t just about speed, it’s also about commitment to solving important problems and larger enterprises have more resources and scope to do that.

That’s why when you look at the most cutting edge technologies, like quantum computing, artificial intelligence, materials science, synthetic biology and others, you tend to find large organizations at the core. Don’t get me wrong, not every big company can innovate, but the ones that can come up with new ideas and execute them consistently, year after year and decade after decade, are enterprises with scale.

2. Levels Of Bureaucracy And Hierarchy Are Increasing, Not Decreasing

About a decade ago, the management guru Gary Hamel wrote a highly cited article in Harvard Business Review entitled First, Let’s Fire All the Managers. He analyzed the success of Morningstar, a leading manufacturer of tomato products that operates with a flat management structure and called for other corporations to follow its lead.

“A hierarchy of managers exacts a hefty tax on any organization,” he wrote. “This levy comes in several forms. First, managers add overhead, and as an organization grows, the costs of management rise in both absolute and relative terms.” The article was very influential and helped bolster other flat models, such as Holacracy.

For a while now, management gurus have been advocating for flatter organizations, yet there is little evidence that eliminating managers is a viable model. In fact, when Wharton Professor Ronnie Lee took a close look at game software developers, he found that the number of levels of bureaucracy increased significantly, not decreased, over the last 50 years.

Certainly, the “flat organization” idea hasn’t caught on. “Since 1983, the size of the bureaucratic class—the number of managers and administrators in the US workforce—has more than doubled, while employment in other categories has grown by only 40%,” Hamil recently wrote.

The inescapable conclusion is that we’ve failed to do away with bureaucracies and hierarchies because they serve a useful purpose. While flatter structures can inspire creativity, we need hierarchies to execute complex operations well. That might not play well when your trying to sell consulting projects or on the keynote stage, but it’s the truth.

3. Markets Are Becoming Less Competitive, not More (At least in the US)

Today it’s become an article of faith that everything moves faster. Business pundits tell us that we’re living in a VUCA world (Volatile, Uncertain, Complex and Ambiguous). These are taken as basic truths that are beyond questioning or reproach. Yet are things actually moving any faster than in earlier eras? The evidence is surprisingly scarce.

The data, however, tell a very different story. A report from the OECD found that markets, especially in the United States, have become more concentrated and less competitive, with less churn among industry leaders. The number of young firms have decreased markedly as well, falling from roughly half of the total number of companies in 1982 to one third in 2013.

A comprehensive 2019 study from the National Bureau of Economic Research found two correlated, but countervailing trends: the rise of “superstar” firms and the fall of labor’s share of GDP. Essentially, the typical industry has fewer, but larger players. Their increased bargaining power leads to more profits, but lower wages.

The truth is that we don’t really disrupt industries anymore. We disrupt people. Economic data shows that for most Americans, real wages have hardly budged since 1964. Income and wealth inequality remain at historic highs. Anxiety and depression, already at epidemic levels, worsened during the Covid-19 pandemic.

What You See Is How You’ll Act

When ideas are repeated often enough, we begin to take them as self-evident and don’t even question them. People take it for granted that small organizations are more innovative than larger ones, that flatter organizations outperform those with high levels of bureaucracy and that business is more competitive today than in earlier eras.

If you believe all that, then you would avoid getting involved with a large organization if you want to innovate, you would try to eliminate levels of hierarchy and create a high sense of urgency about everything you do. Yet when you examine the evidence it becomes clear that none of these things are factual.

The truth is that size has little to do with innovation. As we saw during Covid, the most pathbreaking advances came from collaborations between organizations, public and private, large and small. The levels of hierarchy in an organization aren’t nearly as important as its networks. Pushing too many initiatives is more likely to result in a high level of change fatigue and diminished mental health than lead to genuine results.

When we look back at earlier eras, it’s easy to see the errors in the zeitgeist. It seems obvious that the robber barons undermined society, that excessive tariffs during the depression would impoverished society and that Enron was a fraud. Yet we need to look with the same skeptical eye at prevalent beliefs today.

As Richard Dawkins has explained, memes are selfish. They propagate themselves for their own benefit, not necessarily for ours. We need to learn to be fiercer advocates for our fates.

— Article courtesy of the Digital Tonto blog
— Image credit: Pexels

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AI Will Create a More Human Future, Not a Less Human One

An AI Soft Landing Scenario

AI Soft Landing Scenario
by Braden Kelley and Art Inteligencia


What If the Future Gets More Human?

We spend a remarkable amount of time rehearsing the wrong ending.

In one popular story, artificial intelligence hollows out work, flattens craft, and leaves people performing the emotional leftovers of automation. That is a hard landing: humans demoted by systems that do more of everything, including the parts of work that used to make us feel useful.

There is another future available to us, what I call an AI soft landing. In that future, organizations and societies deliberately design AI to absorb fragmentation, acceleration, and low-judgment transaction. What returns to humans is not emptiness. What returns is depth: larger blocks of time for insight, empathy, decision making, direction setting, problem definition, creativity, and collaboration. The future becomes more human, not less, because human attention is finally reserved for human work.

This is not a naive techno-optimism. Soft landings are designed. Hard landings arrive when efficiency is the only value on the dashboard.

The Hidden Enemy Was Never “Work.” It Was Fragmentation.

Most knowledge work did not become less meaningful because people stopped caring. It became less meaningful because attention was diced into tickets, pings, updates, status rituals, and micro-approvals. We mistook motion for progress and responsiveness for value.

Task switching is expensive. Every context shift asks the brain to unload one problem and reload another. Multiply that by a day of chats, forms, triage, and administrative glue work, and you get a workforce that is always “on” and rarely deep. Strategic thinking does not fail only for lack of talent. It fails for lack of contiguous time.

AI’s first gift, if we use it well, is not genius on demand. It is fewer interrupted minutes. When drafting, scheduling, summarizing, searching, classifying, routing, and first-pass analysis get accelerated or handled, the calendar can stop looking like confetti. Bigger time blocks reappear. And bigger blocks are the raw material of original insight.

AI Future of Work

What Humans Should Own in a Soft Landing

A soft landing is not humans “using AI better.” It is a clear division of cognitive labor, one that protects the uniquely human contribution instead of competing with the machine on volume.

In a more human future, people spend more of their capacity on:

  • Insight development — connecting weak signals into meaning, not merely producing more output
  • Empathy — understanding stakes, dignity, and lived context that no dashboard fully captures
  • Decision making — choosing under uncertainty with values, tradeoffs, and accountability
  • Direction setting — naming where we are going and why it is worth the journey
  • Problem definition — asking better questions before rushing to automated answers
  • Creativity — combining perspectives in ways that are novel, useful, and humanly resonant
  • Collaboration — building trust, resolving conflict, and making progress together

Notice what is missing from that list: being the fastest typist in the room. Soft landing excellence is not measured in tokens per minute. It is measured in clarity per hour — and in whether people leave interactions more capable, more trusted, and more oriented than before.

From Transactional Lives to Strategic Ones

When small tasks expand to fill the day, even senior roles become transactional. Leaders spend their best hours approving instead of directing, reacting instead of sensing, facilitating meetings about work rather than doing the work of judgment.

AI can reverse that inversion, but only if organizations stop using every efficiency gain to stuff more micro-tasks into the same damaged attention budget. Saving ten minutes and immediately filling them with ten more interruptions is not transformation. It is denser exhaustion.

The soft landing asks a different operating question: What human capability do we want more of, now that machines can carry more of the glue?

If the answer is “more throughput at any cost,” you will automate people into thinner slices of busyness. If the answer is “more strategic quality, better problem framing, deeper customer and employee understanding,” AI becomes a scaffold for human depth. Less task switching. More deliberate thinking. Fewer performative updates. More real collaboration around decisions that matter.

AI Human Endeavors

How Leaders Design a Soft Landing (Instead of Hoping for One)

Human-centered change makes soft landings practical. A few design moves matter more than tool catalogs:

  1. Automate the glue, not the judgment. Route AI toward fragmentation: search, draft, summarize, schedule, classify, prepare. Keep humans responsible for choices with ethical, relational, or strategic consequence.
  2. Protect deep-work blocks as policy, not privilege. If AI creates capacity, calendar culture must not immediately reclaim it for more meetings.
  3. Redefine roles around human endeavors. Job descriptions should emphasize insight, empathy, problem definition, and direction — not inbox velocity as a proxy for value.
  4. Measure success in human outcomes. Track decision quality, customer trust, employee agency, and innovation usefulness — not only cost per interaction.
  5. Teach the craft of better questions. In an AI-rich world, problem definition becomes a core leadership skill. Bad prompts and bad frames still produce confident nonsense.
  6. Build collaboration for synthesis, not status. Use reclaimed time for cross-functional sense-making, not another dashboard review theater.

This is experience design for the future of work: design the system so people can be fully human on purpose.

The Choice Ahead

Futurology is not prediction cosplay. It is responsibility with a longer horizon.

We can use AI to compress people into ever-faster transaction machines. Or we can use it to return something modern work has been quietly stealing: the ability to think, feel, decide, and create with integrity.

The soft landing is the second path, a future where machines handle more of the small so humans can do more of the meaningful. Where strategy is less of a slide ritual and more of a practiced habit. Where customer and employee experience improve not only because algorithms personalize, but because people finally have the attention required for empathy and judgment.

A more human future will not arrive by accident. It will be designed by leaders who refuse to confuse automation with progress, and who insist that the best use of artificial intelligence is the expansion of human capacity where it still matters most.

Frequently Asked Questions

What is an AI soft landing?

An AI soft landing is a future in which artificial intelligence absorbs fragmented, transactional tasks so humans can spend more time on deeper endeavors — insight, empathy, decision making, direction setting, problem definition, creativity, and collaboration — making work more human rather than less.

How does AI reduce task switching at work?

AI can handle or accelerate small tasks such as drafting, summarizing, searching, scheduling, classifying, and routing. When organizations protect the time this frees, instead of immediately filling it with more interruptions, people gain larger blocks for strategic thinking and higher-quality collaboration.

What should leaders do to make the future more human with AI?

Leaders should automate glue work rather than human judgment, protect deep-work capacity as policy, redesign roles around human endeavors, measure human outcomes as well as efficiency, invest in better problem definition, and use reclaimed time for real collaboration and decision quality — not denser busyness.

Image Credits: Cursor

Content Authenticity Statement: The topic area, key elements to focus on, etc. were decisions made by Braden Kelley, with a little help from Cursor to clean up the article.

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Managing Your Work Friends

Managing Your Work Friends

GUEST POST from David Burkus

You just got promoted. Congratulations! But now you’re managing your friends. The people you used to grab lunch with, the ones you vented to about the boss, and the folks who knew every inside joke from your team Slack channel — they’re your team. And you’re their boss.

Work friendships are powerful. They boost morale, improve collaboration, and make the workday more enjoyable. I don’t have to convince you that having friends at work is valuable. But when the power dynamic shifts, when you go from being “work friend” to “work boss,” things inevitably change. Suddenly your decisions carry weight — promotions, raises, performance reviews, and tough calls that impact livelihoods. At the same time, your team knows a lot about you. Maybe they’ve seen your Instagram stories or been with you at happy hours. That blurred line between friendship and authority can get messy fast.

And this is the dilemma of managing your friends: how do you maintain meaningful relationships without undermining your credibility as a leader? How do you stay approachable and authentic while also being consistent and fair?

The answer isn’t easy, but it is possible. It starts with understanding what doesn’t work, and then rebuilding those friendships into a new kind of relationship.

Why Most New Managers Struggle

Most new managers stumble into one of two extremes when they start managing their friends. They either pretend nothing has changed, or they change everything.

Some ignore the shift. They keep gossiping, keep oversharing, keep hanging out exactly the same way — hoping the friendship will buffer any awkwardness. But it doesn’t. That kind of behavior undermines authority when it’s time to make a hard call. A joke about a teammate suddenly looks like favoritism. A venting session about a senior leader sounds like open dissent. And the manager’s credibility takes the hit.

Others overcorrect. They pull back completely. They stop socializing. They stop texting. They stop grabbing coffee or lunch. They put up walls and operate only in “professional mode.” That comes across as cold — because it is. And the sudden distance damages trust and morale.

Both extremes backfire. Pretending nothing has changed creates resentment and perceptions of favoritism. Overcorrecting destroys connection and trust. Neither approach works long term. What new managers really need is a third path: redefining the friendship for the new reality.

Why The Old Dynamic Doesn’t Work Anymore

It helps to remember why friendships at work felt easy before. They were built on equality. You were in the trenches together — venting about the same boss, rolling your eyes in the same meetings, maybe even sneaking out early together on a Friday. But the key word there is were. You were equals. Now you’re not.

Power dynamics are like gravity. You don’t always see them, but they’re always pulling. Once you’re in charge, every interaction gets filtered through that shift. You may think you’re just being candid with an old friend, but now it sounds like the boss has picked a side. You may think you’re just cutting them some slack, but others see favoritism. And once your team suspects favoritism, everything else you do gets questioned — your motives, your decisions, even your integrity.

That’s why the old friendship dynamic doesn’t work anymore. It’s not because the friendship isn’t real — it’s because the context has changed. So if you want to keep both your friendships and your credibility, you’ll need to redefine the relationship.

Five Tips For Managing Your Friends

1. Address the Shift Directly

Pretending nothing has changed is like pretending you didn’t just get promoted. Everyone knows. They feel it already. And if you don’t address it, the tension just lingers like an awkward silence no one names.

The fix is surprisingly simple: talk about it. You don’t need to make a big speech or hold a formal meeting. Just have an honest one-on-one conversation with each friend. Something as short as:

“Hey, I know this feels a little different now that I’m in this role. I really value our friendship, and I want to make sure I’m being fair and consistent with the whole team. What boundaries make sense for us?”

That’s it. Short, honest, specific. And it shows you care enough to be proactive. Trust me, your friend is already wondering how things are going to change. By being the first to bring it up, you take away the uncertainty and replace it with clarity.

2. Embrace Your New Role

You can still be friendly, but you can’t be “one of the gang” anymore. Accepting that reality is part of stepping into leadership.

This is where many new managers trip up. They cling to the old dynamic. They keep venting frustrations, gossiping, and oversharing with their closest colleagues. But once you’re the boss, those conversations hit differently. A joke about a coworker is no longer harmless — it’s favoritism. Complaining about company policy isn’t just blowing off steam — it’s sowing dissent.

And those side conversations? They never stay side conversations. They spread. They change perceptions. They chip away at your authority.

That doesn’t mean you need to become robotic. You can still laugh with your team. You can still celebrate wins. You can still be approachable. But you’re “leader first, friend second” now. And when you need to vent, find a new outlet—a mentor, another manager, or someone outside the company. Your team isn’t your sounding board anymore.

3. Stay Consistent to Avoid Favoritism

Fairness isn’t just a leadership principle—it’s a credibility shield. The quickest way to lose trust is to treat your friends differently than the rest of the team.

That doesn’t mean you’ll intend to play favorites. It’s usually subtle. Giving your old buddy more slack on a deadline. Asking them for input first in meetings. Grabbing lunch with them a little more often than with others. None of those things seem like a big deal, but your team notices. They always notice. And once they suspect favoritism, the dynamic of the whole team changes.

So be deliberate about how you lead. Rotate lunch invites. Keep feedback tied to measurable goals so everyone sees the standard is the same. Spread recognition evenly and shine the spotlight on the whole team, not just the familiar faces. Consistency protects your credibility and reinforces trust across the group.

4. Reevaluate Social Media Boundaries

Before you were the boss, your social media interactions were harmless — liking memes, posting weekend selfies, swapping DMs. But now? Those same interactions can be seen as bias or favoritism, and worse, they come with receipts.

A casual photo at a backyard barbecue? Favoritism. Liking a slightly edgy meme your friend shared? Bias. Responding privately to a rant about another teammate? Favoritism again — this time with screenshots. You don’t have to ghost your entire digital life, but you do need to tighten boundaries. Adjust privacy settings. Consider unfollowing or at least limiting interactions. Keep work and social media in separate lanes. And follow this rule of thumb: if you wouldn’t put it in a company email, don’t put it in a DM.

5. Focus on Connection Through the Work

One of the best parts about working with friends is the sense of connection. The risk, when you become their boss, is thinking you need to pull away completely to preserve fairness. But you don’t. You just need to redirect that connection into the work itself.

Research on prosocial motivation—our drive to protect and promote the well-being of others—shows that teams thrive when they’re bonded around shared purpose. That’s your new role: to cultivate connection not through gossip or side chats, but through collaboration, recognition, and shared wins.

Keep the relationships, but root them in the team’s mission. That way you’re not just holding on to friendships—you’re strengthening the team.

The Bottom Line

Managing your friends after a promotion is one of the trickiest leadership challenges you’ll face. If you pretend nothing’s changed, you’ll lose credibility. If you overcorrect, you’ll lose connection. The path forward is acknowledging the shift, embracing your new role, staying consistent, setting boundaries, and channeling friendship into shared purpose.

You don’t have to lose your friends when you become their boss. But you do have to lead them differently. And if you do it well, you won’t just keep your friendships — you’ll earn their respect.

Image credit: Gemini

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Customer Experience Audit vs. Customer Satisfaction Survey

Why They Measure Different Things

Customer Experience Audit vs. Customer Satisfaction Survey

by Braden Kelley and Art Inteligencia

“We already survey our customers” is the single most common objection I hear when I raise the idea of an experience audit, and it’s a reasonable one on the surface — why pay for a second measurement of the same thing? The honest answer is that a survey and an audit aren’t measuring the same thing at all. They’re not even measuring in the same direction.

A survey measures what customers are willing to tell you

NPS, CSAT, and CES all share a structural feature: they depend entirely on a customer choosing to respond, and then choosing to be candid in that response. That’s not a flaw in the instrument — it’s simply what the instrument is. It tells you the sentiment of your most engaged customers (response rates skew toward people who feel strongly, in either direction) at a single moment, about the parts of the experience they happened to be thinking about when the survey arrived.

What it structurally cannot tell you: what happened to the customer who didn’t respond. What the friction actually looked like, step by step, that produced a “6” instead of a “9.” Whether a “9” from one customer and a “9” from another represent the same underlying experience, or two very different ones that both happened to land on the same number.

An audit measures what’s actually happening in the journey

An audit doesn’t ask customers to self-report — it walks the journey directly, the way a real customer experiences it, and documents what’s actually there. That distinction matters most exactly where surveys go quiet: the steps a customer takes for granted and never thinks to mention, the workaround they built without realizing it was a workaround, the moment where the process technically succeeded but took four times longer than it should have.

You can walk journeys for clients whose NPS had been flat, technically acceptable, for years — and find friction serious enough to explain real revenue loss, sitting in a step that had simply never come up in a survey response because no customer thought to complain about something they’d quietly adapted to.

Where each one actually earns its place

None of this makes the survey obsolete — it makes it a different tool for a different job. A survey is the right instrument for tracking sentiment trend over time, cheaply and continuously, across your whole customer base. It’s the wrong instrument for finding out why the trend is what it is, or for finding the friction nobody thought to mention.

An audit is the right instrument for that “why” — for producing a specific, prioritized map of where the experience actually breaks, ranked by business impact. It’s not something you run monthly; it’s something you run when the survey data has told you that something’s wrong without telling you what.

The tell that you need one, not the other

If your satisfaction scores have been flat — not declining, just plateaued — despite genuine effort to improve them, that’s usually the clearest signal that the problem lives somewhere the survey can’t see, and that more survey data won’t produce a different answer than the data you already have. That’s the specific situation an audit is built for.

If you want a rough sense of what that plateau might be costing before committing to a diagnosis, the CX ROI Calculator is a fast way to put a number on it. When you’re ready to find out exactly where the friction is living, that’s what a Customer Experience Audit is for.

Customer Experience Audit versus Customer Satisfaction Survey Infographic

Want to learn more about the value of having an independent Customer Experience Audit done? Or are you ready to invest in one?

Image Credit: Gemini, ChatGPT

Content Authenticity Statement: The topic area, key elements to focus on, etc. were decisions made by Braden Kelley, with a little help from Claude to clean up the article.

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The Leadership Journey

The Leadership Journey

GUEST POST from Mike Shipulski

If you know what to do, do it. Don’t ask, just do.

If you’re pretty sure what to do, do it. Don’t ask, just do.

If you think you may know what to do, do it. Don’t ask, just do.

If you don’t know what to do, try something small. Then, do more of what works and less of what doesn’t.

If your team doesn’t know what to do unless they ask you, tell them to do what they think is right. And tell them to stop asking you what to do.

If your team won’t act without your consent, tell them to do what they think is right. Then, next time they seek your consent, be unavailable.

If the team knows what to do and they go around you because they know you don’t, praise them for going around you. Then, set up a session where they educate you on what you should know.

If the team knows what to do and they know you don’t, but they don’t go around you because they are too afraid, apologize to them for creating a fear-based culture and ask them to do what they think is right. Then, look inside to figure out how to let go of your insecurities and control issues.

If your team needs your support, support them.

If your team need you to get out of the way, go home early.

If your team needs you to break trail, break it.

If they need to see how it should go, show them.

If they need the rules broken, break them.

If they need the rules followed, follow them.

If they need to use their judgement, create the causes and conditions for them to use their judgement.

If they try something new and it doesn’t go as anticipated, praise them for trying something new.

If they try the same thing a second time and they get the same results and those results are still unanticipated, set up a meeting to figure out why they thought the same experiment would lead to different results.

Try to create the team that excels when you go on vacation.

Better yet, try to create the team that performs extremely well when you’re involved in the work and performs even better when you’re on vacation. Then, because you know you’ve prepared them for the future, happily move on to your next personal development opportunity.

Image credits: Pixabay

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