Tag Archives: metrics

Digital Customer Experience Drives Bottom Line Results

Digital Customer Experience Drives Bottom Line Results

GUEST POST from Howard Tiersky

Several years ago, Jake Sorofman, from Gartner, Inc. wrote that “Customer Experience is the new battleground.”

This has been requoted numerous times by companies including Forbes, Altimeter and, McKinsey, etc. And now it looks like FROM.

Not to beat a dead horse, but are CEO’s convinced? In our experience, clients whose leadership is on board with investing in a great experience report greater financial advantages vs. those companies who are not focused on Customer Experience (CX) or are dabbling in it.

In fact, the Aberdeen Group conducted a detailed study on Aligning the Business Around a Customer. In the report, the Best in Class (BIC: defined as the top 20% of participants by reported performance) reported significant financial advantages. For example, the Year over Year (YoY) change in Company revenue is 35.4% for the BIC and 7.7% for all rest.

Other interesting findings include Customer Retention Rate: BIC 85% the rest 40%. YoY change in Customer profitability: BIC 18.2% the rest 2.9%.

Aberdeen Group Aligning Around the Customer

How do companies get results like these? Our clients don’t just fix touchpoints but use Journey Management to Innovate Exceptional Experiences that Customers Love. A simple 6 step process works:

  1. Know your customers and their behaviors
  2. Map their journey and identify friction points, gaps and enabling systems
  3. Establish metrics and analytics based on your business strategy
  4. Ideate and innovate based on new technologies, analytics, and trends
  5. Blueprint the new experiences using a service design based method
  6. Deploy new capabilities and implement the new journeys

6 Step Customer Journey Map Process

Of course, measurement against the metrics set up in step 3 allows us to optimize over time and keep the journey fresh. It also allows us to see potential new friction points that should be resolved. Many companies are looking at personalizing the experience, really understanding their customer behavior and building an environment for co-creation. Powered by ethnographic research, user-centered design can help to focus on what the customer wants to accomplish and how best to get the desired outcome.

So, this works for the rest of the companies, but what about the Best in Class group? Yep, the true innovation to deliver exceptional experiences is never really done. There will always be new tech, and of course, competitors and other companies are investing in their experiences and creating the next big thing.

Need more detail on the benefits of implementing a CX Operating Model and using journey management to deliver Exceptional Experiences? Here is another study that is about 15 months old, also by the Aberdeen group, that details some of the most common areas of value companies are reporting.

The Employee Engagement comparison is staggering. Companies that use Journey Management get almost 15% more employees engaged than companies who work on their journeys, but do not have a cross-silo mature management program. As you may know, engaged employees have a profound impact on the Customer experience. ROMI, Referrals and Sales Cycle Times are also areas that carry large financial rewards.

This article originally appeared on the Howard Tiersky blog

Image Credits: Pexels

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Is it Time to ReLearn to Work?

Is it Time to ReLearn to Work?

GUEST POST from Geoffrey A. Moore

In white-collar industries where remote work is not only viable but often highly productive, we are still struggling to find a post-pandemic formula for integrating office attendance into our weekly routine. Continuing to waffle, however, does no one any good, so we need to get on with things. Part of what has been holding us back is that we have been talking about getting back to the office as an end. It is not. It is a means. The question it begs is, what is the end we have in mind? Why should we get back to the office?

Let’s start by eliminating one reason which gets frequent mention—we can manage better. This is not a good why. Supervision is an artifact of a prior era. Digitally enabled work logs itself, and we can hold each other accountable for all our KPIs, OKRs, and MBOs without having to be collocated. Managers may feel more in control with people in sight, but that is a poor return on the overall commute investment entailed.

A far better reason to return to the office is to reactivate learning. The biggest problem with remote work is that we do not learn. Specifically, we do not:

  • Learn anything new about ourselves, because we need the input of others to do so.
  • Learn new soft skills, because online courses don’t cut it.
  • Learn about our teammates, because video calls lack the needed intimacy.
  • Learn about our customers, because we need to go to their offices to do so (going to our offices would at least let us share the ride)
  • Learn about the current state of our company, because that kind of thing never gets published.

In short, just as our children experienced a learning gap at school, so we inherit the same dynamics with remote work. We consume the skills we have, but we do not develop the ones we need next. We are harvesting, but we are not seeding, and there will be a reckoning if we do not alter our course.

So, there is a good why for returning to the office, but that in turn begs the question of how? Here we need to be clear. We do not know how. We do not know what is the right formula. Unfortunately, waiting won’t help either, so now what?

Let me suggest that the best course of action is to implement a clear policy effective immediately with the following provisos.

  1. We publicly acknowledge that we suspect this policy is wrong.
  2. We are putting it in place for 90 days.
  3. We want everyone to abide by it religiously so that we get the right signals.
  4. We will review the policy publicly and transparently after 90 days and implement a new policy at that time.
  5. We will put that policy in place for 90 days, following the same protocols as before.
  6. We will rinse and repeat until no longer necessary.

The point is, we have to get on with getting on, and running the experiment is the fastest way to get there.

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

Image Credit: Pixabay

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5 Essential Customer Experience Tools to Master

5 Essential Customer Experience Tools to Master

by Braden Kelley

There are so many different tools that customer experience (CX) professionals can use to identify improvement possibilities, that it can be quite overwhelming. Because CX is a human-centered discipline, it doesn’t require a lot of fancy software to do it well. Mastering these five (5) tools will help you and your customers:

1. Customer Research

Go beyond surveys and purely quantitative measures to include qualitative research that helps you uncover:

  • The jobs your customers are trying to get done
  • Insights across acquisition, usage and disposal
  • Their most frequently used interfaces
  • Their most frequent interactions
  • Where customers diverge from each other on these points

2. Customer Personas (Go beyond the demographics!)

  • Include THEIR business goals
  • What they need from the company
  • How they behave
  • Pain points
  • One or two key characteristics important for your situation (how they buy, technology they use, etc.)
  • What shapes their expectations of the company

3. Customer Journey Maps

  • Make sure you map not only the customer touchpoints and pain points, but any points where lingering actually creates value. Focus each journey map on a single customer persona.

4. Service Design Blueprints

  • Uncover the hidden layers of a service’s true potential. Service design blueprints can become a visionary force to steer the course of exceptional customer experiences. Weave a masterful tapestry of intricate details into a big picture that creates a clarity of execution.

5. Customer Experience Metrics

  • Every customer experience (CX) leadership team must decide how to measure changes in the quality of their customer experience over time. This could be customer churn, first-contact resolution, word-of-mouth, CSAT, customer effort (CES), or whatever makes sense for you.

Conclusion

The right set of customer experience (CX) tools will enable you to create a shared vision of what a better customer experience could look like and empower you to make the decisions necessary to create the changes that will realize the improvements you seek.

Great customer experience tools will also help you identify:

  • The moments that matter most
  • The tasks your employees need the most help with
  • The information, interactions and interfaces that are most important to your customers
  • Where different customer personas are the same and where you need to invest in accommodating their differences
  • How to efficiently prioritize your CX improvement investments

Let us help you supercharge your customer experience!

Reach out to us at:

https://www.hcltech.com/contact-us/customer

Download the Customer Experience Tools Flipbook

Image credit: Unsplash

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Top 10 Human-Centered Change & Innovation Articles of September 2023

Top 10 Human-Centered Change & Innovation Articles of September 2023Drum 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 September’s ten most popular innovation posts:

  1. The Malcolm Gladwell Trap — by Greg Satell
  2. Where People Go Wrong with Minimum Viable Products — by Greg Satell
  3. Our People Metrics Are Broken — by Mike Shipulski
  4. Why You Don’t Need An Innovation Portfolio — by Robyn Bolton
  5. Do you have a fixed or growth mindset? — by Stefan Lindegaard
  6. Building a Psychologically Safe Team — by David Burkus
  7. Customer Wants and Needs Not the Same — by Shep Hyken
  8. The Hard Problem of Consciousness is Not That Hard — by Geoffrey A. Moore
  9. Great Coaches Do These Things — by Mike Shipulski
  10. How Not to Get in Your Own Way — by Mike Shipulski

BONUS – Here are five more strong articles published in August 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!

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 three years:

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Measuring Employee Engagement Accurately

Measuring Employee Engagement Accurately

GUEST POST from David Burkus

Employee engagement has been a hot topic for several decades. And for good reason. Business teams with highly engaged employees have a 59 percent lower turnover rate than those with less engaged staff. Highly engaged teams are 17 percent more productive. Engaged teams receive 10 percent higher customer reviews. And yes, businesses with engaged employees have higher profit margins than non-engaged competitors.

But getting employees to feel engaged is no small feat. Even how to measure employee engagement can be a difficult question to answer for many leaders. But there are good reasons to try. Measuring employee engagement helps identify cultural strengths for the organization. Done well measuring employee engagement builds trust through the company. And measuring employee engagement helps understand and respond to potential trends, both in the organization and across the industry.

In this article, we’ll outline how to measure employee engagement through the most commonly used method and offer the strengths and weaknesses of each method.

Surveys

The first method used to measure employee engagement is surveys. And this is also the most commonly used method as well—mostly for commercial reasons. After the Gallup Organization launched their original Q12 survey of engagement, dozens of competing companies with competing surveys sprung up all promising a different and better way to measure employee engagement. Most of these surveys present a series of statements and ask participants to rate how much they agree or disagree on a 5- or 7-point “Likert” scale. Some include a few open-ended questions as well.

The biggest strength of the survey method is that it scales easily. For an organization with hundreds or thousands of employees, emailing out a survey invitation and letting the system do the rest of the work saves a lot of time. In addition, surveys allow for objective comparisons between teams and divisions, or between the company and an industry benchmark. But while the comparisons may be objective, the data itself may not be. That’s the biggest weakness of surveys, they most often rely on self-reported data. And as a result, those taking the survey may not be completely honest, either because they want to feel more engaged or because they don’t trust the survey to be truly anonymous.

Proxies

The second method used to measure employee engagement is proxies—meaning other metrics that serve as a proxy for engagement. Because we know that employee engagement correlates to other measurements, we can assume a certain level of engagement based off those measurements. For example, productivity has a strong correlation to employee engagement when looking at teams or entire organizations. So, if productivity is high, it’s safe to assume employee engagement isn’t low. Likewise, absenteeism and turnover tend to rise as employee engagement falls, so changes over time on those metrics point to changes over time in engagement. (And comparisons between engagement in departments/teams can sometimes be made based on these proxies.)

The big strength of proxies is that they’re usually measurements that are already being captured. Larger organizations are already tracking productivity, turnover, and more and so the data are already there. The weaknesses of proxy measurements, however, are that they’re not a perfect correlation. It’s possible to be productive but not engaged, and there are often other reasons certain roles have higher turnover than others beyond employee engagement. In addition, some of these proxies are lagging indicators—if turnover is increasing than engagement has already fallen—and so they don’t provide leaders a chance to respond as fast.

Interviews

The third method used to measure employee engagement is interviews. And this method is the least common one but it’s growing in usage. Sometimes these are called “stay” interviews, in contrast to the exit interviews that are common practice in organizations. The idea is to regularly interview employees who are staying about how the company (and leaders) are doing and how things could be improved. While the questions used should provide some structure, the open-ended nature allows leaders to discover potentially unknown areas for improvement.

The biggest strength of stay interviews is that they’re a useful method for team leaders who may not have senior leader support for measuring engagement. Conducting stay interviews with ones’ team doesn’t require senior leadership approval or data from Human Resources. So, it’s available to leaders at all levels. And while that’s true, the weakness of stay interviews is that they’re hard to scale. Training thousands of managers on conducting a stay interview isn’t as easy as emailing out a survey. Moreover, because different managers would conduct these interviews differently, cross-comparison would be subject to bias. Stay interviews are a powerful way to measure engagement on a team, but they’re most potent when they’re used by managers who truly want the feedback their team provides (and not merely because they were told to conduct interviews).

Conclusion

While all three methods are a way to measure employee engagement, it’s not enough to merely measure. We measure things so we can improve them. So once the measurement is done, leaders need to have a plan in place make progress. That plan should include sharing out the results of the measurement and sharing the lessons learned from analyzing those results. In addition, leaders should share what changes are planned based on those lessons. And while it doesn’t need to be shared, it’s worth thinking ahead of time how the effects of those changes will be themselves be measured.

Done well, these measurements and the resulting plans will create an environment where everyone can do their best work ever.

Image credit: Pixabay

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Our People Metrics Are Broken

Our People Metrics Are Broken

GUEST POST from Mike Shipulski

We get what we measure and, generally, we measure what’s easy to measure and not what will build a bridge to the right behavior.

Timeframe. If we measure people on a daily pitch, we get behavior that is maximized over eight hours. If a job will take nine hours, it won’t get done because the output metrics would suffer. It’s like a hundred-meter sprint race where the stopwatch measures output at one hundred meters. The sprinter spends all her energy sprinting one hundred meters and then collapses. There’s no credit for running further than one hundred meters, so they don’t. Have you ever seen a hundred-meter race where someone ran two hundred meters?

Do you want to sprint one hundred meters five days a week? If so, I hope you only need to run five hundred meters. Do you want to run twenty-five miles per week? If so, you should slow down and run five miles per day for five days. You can check in every day to see if the team needs help and measure their miles on Friday afternoon. And if you want the team to run six miles a day, well, you probably have to allocate some time during the week so they can get stronger, improve their running stride, and do preventative maintenance on their sneakers. For several weeks prior to running six miles a day, you’ve got to restrict their running to four miles a day so they have time to train. In that way, your measurement timeframe is months, not days.

Over what timeframe do you measure your people? And, how do you feel about that?

Control Volume. If you have a fish tank, that’s the control volume (CV) for the fish. If you have two fish tanks, you two control volumes – control volume 1 (CV1) and control volume 2 (CV2). With two control volumes, you can optimize each control volume independently. If tank 1 holds red fish and tank 2 holds blue fish, based on the number of fish in the tanks, you put the right amount of fish food in tank 1 for the red fish and the right amount in tank 2 for the blue fish. The red fish of CV1 live their lives and make baby fish using the food you put in CV1. And to measure their progress, you count the number of red fish in CV1 (tank 1). And it’s the same for the blue fish in CV2.

With the two CVs, you can dial in the recipe to grow the most red fish and dial in a different recipe to grow blue fish. But what if you don’t have enough food for both tanks? If you give more food to the blue fish and starve the red fish, the red fish will get angry and make fewer baby fish. And they will be envious of the blue fish. And, likely, the blue fish will gloat. When CV1 gets fewer resources than CV2, the fish notice.

But what if you want to make purple fish? That would require red fish to jump into the blue tank and even more food to shift from CV1 to CV2. Now the red fish in CV1 are really pissed. And though the red fish moved to tank 2 do their best to make purple guppies with the blue fish, neither color know how to make purple fish. They were never given the tools, time, and training to do this new work. And instead of making purple guppies, usually, they eat each other.

We measure our teams over short timeframes and then we’re dissatisfied when they can’t run marathons. It’s time to look inside and decide what you want. Do you want short-term performance or long-term performance? And, no, you can’t have both from the same team.

And we measure our teams on the output of their control volumes and yet ask them to cooperate and coordinate across teams. That doesn’t work because any effort spent to help another control volume comes at the expense of your own. And the fish know this. And we don’t give them the tools, time, and training to work across control volumes. And the fish know this, too.

Image credit: Unsplash

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How Do You Measure Power?

How Do You Measure Power?

GUEST POST from Geoffrey A. Moore

In a recent blog, I argued that management needs to be accountable not only for delivering current performance but also for investing in power initiatives that will fuel future performance. Compensation systems that focus solely on the former too often result in a hollowing out of the enterprise, as we have seen with any number of iconic companies that have “performed” their way to the sidelines.

But this begs a key question—how do you measure power? Specifically, what kind of metrics could supply a stable foundation for management accountability and executive compensation?

In my book Escape Velocity, when discussing managing for shareholder value, we introduced a framework called the Hierarchy of Powers. The idea is that investors, who are buying a share of your enterprise’s future performance, value your company based on how much power they think it has relative to other investments they could be making. In this context, we claimed there were five classes of power that got evaluated in the following order of priority:

  1. Category Power. Is your core business in a category that is growing, stable, or declining? This, we claimed, is the single biggest predictor of future performance.
  2. Company Power. Within that category, where is your company in the pecking order of companies? If you are number one, that is a huge advantage. If you are number two, it also provides tailwinds. After that, there are no more tailwinds to be had.
  3. Market Power. For companies that focus on one or more vertical markets, is your company the default choice for major prospects and customers in that segment? Wherever this is the case, it gives a material boost to your sales momentum and thus your company’s valuation.
  4. Offer Power. Do you get preference and/or premium pricing due to the differentiation of your offer? Do you win the lion’s share of any competitive bake-offs?
  5. Execution Power. Do you have a history of meeting or beating guidance on a consistent basis?

The model has stood up well over the years, but there is still the question of how to ensure accountability for investing in power when so much of our attention (and compensation) is focused on creating the next quarter’s performance. To that end, my colleague Philip Lay and I have been sorting through objective measures that signal material gains in power, ones that executive teams could readily track, and compensation programs could use to calibrate bonuses.

Here’s what we propose should be the top two metrics for each class of power:

Category Power. The focus here is on portfolio valuation—how many categories does the enterprise participate in, and how is each category faring. Meaningful changes in category power typically come through M&A, often supplementing organic innovation that is looking to scale quickly. Top two metrics for each category assessed:

  1. Category Maturity Life Cycle status. The key stages are secular growth, cyclical growth, stagnant, and declining.
  2. Technology Adoption Life Cycle status. This model focuses specifically on the period of secular growth, breaking it up into the following stages: Early Market, Chasm, Beachhead, Bowling Alley, Tornado, and Main Street. The two big valuation changers are winning a beachhead market segment in the Bowling Alley and participating with meaningful share in the Tornado.

Company Power. In high-growth categories, the focus is on bookings growth and competitive win rates. In mature categories, it is on the stability of the installed base as well as bargaining power both with suppliers and with customers. The top two metrics are:

  1. Market share within each category. By far the most important metric, as market ecosystems organize around and give preference to the category leader.
  2. Balanced mix of power and performance categories. For global enterprises, in particular, portfolio balance creates optionality to deal with both bull and bear markets.

Market Power. In emerging categories, dominating a target market segment, as opposed to merely participating in it, is critical to crossing the chasm and creating a sustainable franchise. In mature categories, target market segment focus is key to creating above-market growth. The top two metrics are:

  1. Segment share. The most important metric because ecosystems that serve market segments organize around a segment leader only when it has dominant segment share.
  2. Growth rates within target market segments. This is particularly important in any economic downturn that impacts different market segments to highly varying extents.

Offer Power. This metric and the next are closely aligned with delivering performance in the current fiscal year. That said, they still signal successful investments in power. The top two power metrics are:

  1. Magic quadrant status. This is the most widely circulated third-party measure of offer power.
  2. Win/loss record in head-to-head competitions. This is the most credible measure of offer power.

Execution Power. This really is the land of performance, but there is still power in reputation. Top two metrics are:

  1. History of “meeting or beating” commits, be they forecast or, release dates. This is what gives confidence to customers and partners to give your team the nod.
  2. Customer success metrics. These include Net Expansion Rate, Net Retention Rate, and Promoter Score, all of which validate that you are keeping your sales promises.

Guidelines for Using the Metrics

Metrics are a device to ensure visibility and accountability, and nowhere is this more important than when dealing with something as abstract as power. The key is to associate the right metrics with the right people, the ones who can have the most impact on the level of power in question. This works out as follows:

  • Top Executives: Category Power, Company Power. The two key levers here are using M&A to strategic advantage and using the annual budgeting process to allocate resources asymmetrically to achieve strategic objectives.
  • Middle Management: Market Power, Offer Power. The two key levers here are using market segmentation to strategic advantage and allocating the resources under your control asymmetrically to achieve dominant shares in target market segments.
  • Front Line: Execution Power. The key lever here is to align and focus the resources under your control or influence them in order to deliver the performance you have committed to.

For purposes of compensation, promotion, and overall alignment, these metrics align well with OKR objectives and can be used wherever OKRs are focused on increasing power. Again, the goal is not to replace performance metrics but rather to complement them.

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

Image Credit: Unsplash

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Using Leading and Lagging Indicators to Drive Your Business Forward

You get what you measure, so make sure you’re tracking the right things.

Using Leading and Lagging Indicators to Drive Your Business Forward

GUEST POST from Soren Kaplan

I’ve seen a lot of organizations create strategies, programs, and projects focused on optimizing operations, streamlining processes, and driving innovation. Leadership teams put lots of energy coming up with the next big thing. But amazingly few teams think about how they’ll measure results. They may say they want revenue growth or cost savings, but that’s about the extent of it. Digging into the details by defining the specific metrics that will help track progress and forecast whether they’re going to achieve their goals in the future often gets neglected.

I’ve used this Key Performance Indicators template to address this challenge. Here’s the basis of why it’s important to use KPIs for your strategy and innovation initiatives, and how to use the template.

Strategy Without Successful Execution Is Just Brainstorming

Between developing strategy and executing it, there’s a step that requires creativity coupled with analytical thinking. It’s defining leading and lagging indicators. Many manufacturing companies and organizations that embrace Six Sigma know the importance of the metrics. Metrics help you quantify success, so you know when you’re achieving it and when you’re not.

Most companies focus on lagging indicators, like how much revenue they made in the last quarter, how many products they sold, or how many new customers they acquired. That’s important information, but those measures are obtained by looking in the rear-view mirror of what’s already happened. In addition to these things, you also need leading indicators to help you predict what will happen in the future. Here’s how to use both of these indicators to translate strategy into tangible implementation plans.

Leading Indicators Help You Predict the Future

Leading Indicators predict how you will perform in the future. They are more easily managed than lagging indicators but are harder to define. For example, if you’re looking to increase sales, you might measure the number of emails you send or sales calls you make. If you know that one in 10 calls results in a sale, the more contacts you make, the higher your sale forecast. Same goes for if you’re running a manufacturing organization. Leading Indicators for a manufacturing plant might include number of incidents that cause production slowdowns or the availability of specific materials in the supply chain.

Lagging Indicators Tell You How You Did

Lagging Indicators are easier to measure because they quantify what happened in the past. For example, a lagging indicator for sales would be measuring the number of products sold last month or number of new customers that signed up for a service. This information is usually easy to obtain and measure. Lagging Indicators are essential for charting progress but are not necessarily that helpful when looking at the inputs needed for achieving your overall desired results.

Create Your Dashboard

If you want innovation, reduced costs, and greater performance, you need to figure out how to do it, and what it looks like when you get it. Creating a set of lagging indicators gives you targets to achieve. But lagging indicators without leading indicators won’t provide focus around what to do–or early warning signals that things might be off track. If you’re manufacturing products, for example, if you’re not measuring whether your suppliers are delivering your materials on time, you might get surprised one day when you realize you don’t have the raw materials you need to achieve your manufacturing targets.

Here’s how to create a simple dashboard that contains both leading and lagging indicators:

  1. Convene your team and identify the specific quantifiable targets that you need to achieve (your lagging indicators). Ask: What does success look like and how do we measure it?
  2. Once you have your lagging indicators, define the inputs needed to achieve them. Ask: What specific things need to happen for us to achieve these targets and how do we measure those things? (your leading indicators)
  3. With your lagging and leading indicators defined, use specific tools to gather and report on your data, whether a spreadsheet or online dashboard.

Management guru Peter Drucker once said, “What’s measured, improves.” If you want to improve your processes and business, figure out what you’re measuring. If you measure only the outputs (lagging indicators), your success will be far less predictable than if you’re also measuring the things that will get you where you want to go.

Image Credit: Praxie.com

This article was originally published on Inc.com and has been syndicated for this blog.

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Top 10 Human-Centered Change & Innovation Articles of October 2022

Top 10 Human-Centered Change & Innovation Articles of October 2022Drum 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 October’s ten most popular innovation posts:

  1. Bridging the Gap Between Strategy and Reality — by Braden Kelley
  2. How Do You Judge Innovation: Guilty or Innocent? — by Robyn Bolton
  3. Scaling New Heights – Building Resilience — by Teresa Spangler
  4. What Great Transformational Leaders Learn from Their Failures — by Greg Satell
  5. Your Brand Isn’t the Problem — by Mike Shipulski
  6. What’s Next – Through the Looking Glass — by Braden Kelley
  7. Don’t Blame Quiet Quitting for a Broken Business Strategy — by Soren Kaplan
  8. The Ways Inflection Points Define Our Future — by Greg Satell
  9. How to Use TikTok for Marketing Your Business — by Shep Hyken
  10. Making Innovation the Way We Do Business (easy as ABC) — by Robyn Bolton

BONUS – Here are five more strong articles published in September 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!

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 two years:

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

Top 10 Human-Centered Change & Innovation Articles of September 2022

Top 10 Human-Centered Change & Innovation Articles of September 2022Drum 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 September’s ten most popular innovation posts:

  1. You Can’t Innovate Without This One Thing — by Robyn Bolton
  2. Importance of Measuring Your Organization’s Innovation Maturity — by Braden Kelley
  3. 3 Ways to Get Customer Insights without Talking to Customers
    — by Robyn Bolton
  4. Four Lessons Learned from the Digital Revolution — by Greg Satell
  5. Are You Hanging Your Chief Innovation Officer Out to Dry? — by Teresa Spangler
  6. Why Good Job Interviews Don’t Lead to Good Job Performance — by Arlen Meyers, M.D.
  7. Six Simple Growth Hacks for Startups — by Soren Kaplan
  8. Why Diversity and Inclusion Are Entrepreneurial Competencies
    — by Arlen Meyers, M.D.
  9. The Seven P’s of Raising Money from Investors — by Arlen Meyers, M.D.
  10. What’s Next – The Only Way Forward is Through — by Braden Kelley

BONUS – Here are five more strong articles published in August 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!

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

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