Tag Archives: Experiment Canvas

How to Learn Fast — and Kill Weak Bets Early

The Experiment Canvas™: Five Gravity-Control Innovation Experiments Visualized

How to Learn Fast — and Kill Weak Bets Early

by Braden Kelley and Art Inteligencia


What Is The Experiment Canvas™? (Short Answer)

The Experiment Canvas™ is a one-page innovation tool for structuring experiments that prove or disprove the feasibility, viability, and desirability of a potential innovation — before you burn capital on the wrong bet. It forces a clear hypothesis, helpers, resources, risks, assumptions, barriers, a three-phase experiment plan (setup → execution → wrap-up), and learning metrics that can falsify the idea.

Below: why the canvas accelerates innovation speed and success rates — and five filled examples for a hypothetical gravity control appliance, showing how a radical idea can be broken into sequenced experiments that cull likely failures early.

Why Innovators Need to Instrument for Learning — Not Hope

Most innovation waste is not bad imagination. It is unfalsified imagination: teams fund prototypes, labs, and roadmaps without a written hypothesis, kill criteria, or a learning metric anyone would defend in a budget meeting. Activity photographs well. Learning does not — unless you design for it.

I created The Experiment Canvas™ as part of the Human-Centered Innovation Toolkit™ to help teams instrument for learning fast in iterative new product or service development. The canvas makes the experiment visual and collaborative — so alignment, accountability, and outcomes improve together. Specs can follow. Hope should not lead.

Used well, the canvas helps you:

  • Accelerate speed — by sequencing the questions that matter (physics before scale; safety before market theater; cost before Series B fantasy).
  • Raise odds of success — by naming helpers, resources, assumptions, and barriers before the first dollar of build.
  • Cull likely failures early — with fail-fast gates and learning metrics that can say “no” while the bet is still cheap.

How The Experiment Canvas™ Structures a Bet

Each canvas asks the same disciplined questions, in roughly this flow:

Zone What it forces
Hypothesis The question, feasibility/viability/desirability angles, fatal flaws, adoption blockers
Who can help / resources / risks Real people, real tools, real downside — not a slide of optimism
Phases 1–3 Setup, execution, wrap-up with evidence, insight, and next gate
Assumptions & barriers What must be true — and what can stop you
Learning metrics Three measures that can falsify the bet

To show how this works on something intentionally extreme, I recently built five Experiment Canvas examples (CLICK THEM to get the big version) for a hypothetical gravity control appliance. The point is not sci-fi cosplay. The point is method: even a moonshot becomes manageable when you break it into experiments that can fail honestly.

Example 1 — Physics Feasibility: Is There Any Measurable Effect?

Core hypothesis: Can we create >0.1% weight reduction on a 1kg mass — or is there any measurable effect at all?

This first canvas attacks the fatal question: is there a signal, or are we chasing EMI / magnetic tricks and reputational risk? Helpers include a chief scientist, a gravimetry lab, metrology, and an external skeptic reviewer. Learning metrics demand delta-G, signal-to-noise (>3 sigma), and repeatability. Next gate: if yes → energy test; if no → pivot or kill.

The Experiment Canvas example 1 — physics feasibility for a gravity control appliance testing measurable weight reduction
Example 1 — Physics feasibility: measurable effect, SNR, and repeatability before any product story.

Example 2 — Energy Efficiency: Is the Cost Per Newton Survivable?

Core hypothesis: Can we achieve >1 Newton of lift per kW — and modulate ±2% for 60 seconds — without an energy cost that makes the product impossible?

Prerequisite: Example 1 success. This canvas puts power electronics, thermal management, and fail-fast gates on the page (>5 kW/N kills the path). Metrics: watts per Newton, modulation accuracy, thermal stability. Insight: is the curve linear — or a cliff? Soft landings for radical tech start with honesty about energy economics.

The Experiment Canvas example 2 — energy efficiency and modulation for a gravity control appliance
Example 2 — Energy efficiency: cost per Newton, modulation, and thermal limits with a fail-fast gate.

Example 3 — Safety Envelope: Is Exposure Safe Enough to Sell?

Core hypothesis: Is 8-hour exposure at 0.5G at 1 meter safe — for cells, electronics, and humans?

Prerequisite: a stable Example 2. Here feasibility, desirability, and viability collide: bio impact, EMC, nausea, regulatory classification, liability. Metrics include cell viability (>95% vs control), bit-error rate / EMC compliance, and human symptom reports. Next: define a safety manual and exclusion zone — or stop before market theater begins.

The Experiment Canvas example 3 — safety and exposure envelope for a gravity control appliance
Example 3 — Safety: biological, electronic, and human-factor metrics that define the operating envelope.

Example 4 — Market Desirability: Who Has Gravity Pain Worth Paying For?

Core hypothesis: Which segment has ~$10M gravity-related pain — and will they sign LOIs at real price points ($120k+ / $520k+), or is this cool tech nobody wants?

Prerequisite: safety envelope from Example 3. This is the desirability canvas — interviews, pain scores, willingness to pay, and traction via pilot LOIs. Done when you have enough contact evidence for a go or a clear no-go. Building without a segment that hurts is innovation theater with better physics.

The Experiment Canvas example 4 — market desirability, pain scores, and LOIs for a gravity control appliance
Example 4 — Market desirability: segment pain, willingness to pay, and LOI traction before beta spend.

Example 5 — Manufacturing Viability: Can We Build 10 Betas Under $50k BOM?

Core hypothesis: Can we build 10 beta units at under $50k bill of materials — with a real path through supply chain, yield, and compliance?

This viability canvas asks whether the existing supply chain works, whether FCC/OSHA/product safety is a path or a wall, and whether cost or yield kills margin. Fail fast if BOM exceeds $100k. Metrics: unit cost, manufacturability (yield and hours), compliance blockers. Next: if cost and path are clear → fund the next round; if not → redesign before you scale a fantasy.

The Experiment Canvas example 5 — manufacturing BOM, yield, and compliance for a gravity control appliance
Example 5 — Manufacturing viability: BOM, yield, and compliance path before you scale.

What These Five Canvases Teach About Speed and Success

Read the five examples in sequence and a pattern appears:

  1. Sequence the fatal questions. Physics before energy. Energy before safety. Safety before market. Market before manufacturing scale.
  2. Write the kill criteria in advance. Null result, >5 kW/N, unsafe exposure, no LOIs, BOM blowout — each canvas names how to stop.
  3. Make learning metrics falsifiable. Three metrics per canvas beat a hundred vanity KPIs.
  4. Surface helpers, risks, assumptions, and barriers. Innovation fails politically as often as it fails scientifically.
  5. Treat wrap-up as a decision, not a report. Evidence → insight → next gate. No cemetery of unfinished experiments.

You do not need a gravity appliance to use the method. You need a bet you are tempted to fund on enthusiasm alone — and the discipline to instrument learning before the money gets loud.

Download The Experiment Canvas™ and Run Your Next Bet

The Experiment Canvas™ is available as a free, premium 35″ × 56″ scalable PDF — suitable for wall-sized workshops, 11″ × 17″ (A3) printing, or as a background in Miro, Mural, Lucid, Microsoft Whiteboard, and similar tools. It is one of the optional components of the Human-Centered Innovation Toolkit™.

Go download The Experiment Canvas™ here:
https://bradenkelley.com/product/experiment-canvas-35″-x-56″-poster-size/

Write the hypothesis. Name the metrics that can kill the bet. Run the experiment. Soft landings for innovation are designed — one falsifiable canvas at a time.

Frequently Asked Questions

What is The Experiment Canvas™?

The Experiment Canvas™ is a free innovation tool by Braden Kelley for structuring experiments that test feasibility, viability, and desirability. It covers hypothesis, helpers, resources, risks, setup/execution/wrap-up phases, assumptions, barriers, and learning metrics.

How does The Experiment Canvas™ accelerate innovation?

It forces teams to write a falsifiable hypothesis, sequence fatal questions, name kill criteria and learning metrics, and decide next steps based on evidence — so weak bets die early and strong bets get clearer gates before capital scales.

What are feasibility, viability, and desirability in innovation experiments?

Feasibility asks whether it can work technically. Desirability asks whether humans want it enough to hire it. Viability asks whether it can be made, sold, and sustained economically and legally. The Experiment Canvas™ helps you instrument learning across all three.

Where can I download The Experiment Canvas™?

Download the free 35″ × 56″ poster-size PDF from Braden Kelley’s product page: https://bradenkelley.com/product/experiment-canvas-35″-x-56″-poster-size/

Why use a gravity control appliance as an Experiment Canvas example?

An intentionally extreme hypothetical shows the method under stress: physics, energy, safety, market, and manufacturing each get their own canvas with kill criteria. If the tool works for a moonshot-style idea, it works for the bets already on your roadmap.

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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Using Intuition to Drive Innovation Success

Using Intuition to Drive Innovation Success

Americans are in love with data, big data, analytics, artificial intelligence and machine learning.

… and the rest of the world is catching the same disease.

Data is important, don’t get me wrong, but it is only one side of the coin driving innovation and operational success.

On the other side of the coin is intuition.

As smart organizations try and make greater use of human-centered design, empathy and intuition can and must play an increasingly important role.

Bruce Kasanoff states that “Intuition is the Highest Form of Intelligence” in his article on Forbes.

Intuition is incredibly important to human-centered design from the standpoint that an “intuitive” design taps into our shared understanding as humans of how things should operate.

Intuition is the secret sauce of the quantum human computer, and as the pace of change AND complexity both accelerate, we must change our brain function to develop not just our intellectual capabilities but our instinctual capabilities as well.

Nobel Prize winner Daniel Kahneman wrote about these two ways of thinking in his book Thinking, Fast and Slow. Let’s look at a short video looking at intuition, science and dreams:

Science Intuition and Dreams – Dean Radin

Dreams can be an incredibly powerful tool for innovation, in fact the Nine Innovation Roles that play an important role in the best-selling book Stoking Your Innovation Bonfire came to me in a dream. Many experts recommend that you keep a pen and a notebook next to your bed to capture these flashes of brilliance.

Dreams and shared understanding are but two manifestations of intuition, of our interconnectedness with each other and energies greater than ourselves. But how do we leverage our intuition for innovation?

One way is to use your innovation as an input to use with a tool like The Experiment Canvas™:

The Experiment Canvas

Which is available as a free tool here on my web site from the forthcoming Disruptive Innovation Toolkit™.

You can use it to craft a hypothesis based on your intuition that you want to test, it keeps you focused on what you hope to learn during the experiment, and to consider the setup, operation, and wrapup of your experiment – among other things.

Too often people ignore their intuition because it doesn’t seem scientific. But, turning intuitive insights into hypotheses to test will help you overcome your hesitancy until you train your intuition and to learn to trust it as the potential human quantum computer that it could be. The other reason that people ignore their intuition is that well, they just can’t hear it. For many people, their intellectual mind is so busy that they can’t receive and react to what their intuitive mind is telling them.

Here is an interesting video that highlights these two points and how humans communicate behind the scenes:

Are you drowning out your intuitive mind? Are you failing to consider what is saying, and to test its assertions?

If so, please stop it, and learn new ways to keep innovating!

SPECIAL BONUS:

If you’d like to watch and learn even more about intuition…

Here is a video on Nikola Tesla and the Power of Intuition:


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How to Foster a Culture of Experimentation

Unlocking Innovation Potential

How to Foster a Culture of Experimentation

GUEST POST from Chateau G Pato

In today’s fast-paced and ever-changing business environment, innovation has become a vital aspect of success for organizations across industries. Companies must constantly explore new ideas, products, and processes to stay ahead of the competition. However, fostering a culture of experimentation within an organization can be challenging. It requires a mindset that embraces failure as a stepping stone to success and encourages employees to think outside the box. In this article, we will explore the importance of experimentation and highlight two case studies that demonstrate how organizations have successfully unlocked their innovation potential.

Case Study 1: Google’s 20% Time

Google is a pioneer in fostering a culture of experimentation through its well-known “20% time” policy. Starting in the early 2000s, Google allowed its employees to dedicate 20% of their workweek to pursue projects of their own choosing, even if those projects were unrelated to their current roles. This policy encouraged employees to think creatively, take risks, and work on innovative ideas that were not part of their daily responsibilities.

This culture of experimentation led to the creation of successful products like Gmail, Google Maps, and AdSense, which all began as side projects during employees’ 20% time. By giving employees the freedom to explore their passions and experiment with new ideas, Google was able to tap into the collective potential of its workforce, resulting in groundbreaking innovations.

The success of Google’s 20% time policy illustrates the power of fostering a culture that promotes experimentation and risk-taking within an organization. By providing employees with the space and autonomy to dedicate time to their own projects, companies can unlock new perspectives, drive creativity, and spark innovation.

Case Study 2: Amazon’s Fail Fast Culture

Another excellent example of fostering a culture of experimentation is demonstrated by Amazon. Amazon has a “fail fast” approach, which encourages employees to test out new ideas quickly, learn from failures, and iterate rapidly. This mindset emphasizes the importance of taking calculated risks and accepting that not all experiments will succeed.

One notable example is Amazon’s foray into the smartphone market with the launch of the Fire Phone in 2014. Despite heavy investments, the Fire Phone failed to gain traction in the market and faced significant backlash. Instead of dwelling on this failure, Amazon quickly learned from the experience, pivoted its strategy, and went on to introduce successful products like the Kindle Fire tablet and the Amazon Echo.

Amazon’s fail fast culture allowed the company to bounce back from setbacks and leverage the knowledge gained through experimentation to drive future successes. By fostering a culture that embraces failure as a valuable learning experience, Amazon encourages its employees to take risks and explore new possibilities, spurring innovation throughout the organization.

Conclusion

Unlocking innovation potential and fostering a culture of experimentation is crucial for organizations looking to stay competitive in today’s dynamic business landscape. By learning from real-life case studies like Google’s 20% time policy and Amazon’s fail fast culture, businesses can gain insights into how to create an environment that encourages creativity, risk-taking, and continuous learning.

To foster a culture of experimentation, organizations should empower employees with autonomy, provide dedicated time for innovative projects, and foster an environment where failures are seen as learning opportunities rather than obstacles. By embracing experimentation and cultivating a mindset that values and encourages innovation, organizations can unlock their full potential and drive sustainable growth in the long run.

Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

And to help you with your culture of experimentation, please be sure to download Braden Kelley’s FREE Experiment Canvas, which you can print as a 35″x56″ poster or an 11″x17″ or use as a background in online whiteboarding tools like Miro, Mural, Lucidspark, Google Jamboard and Microsoft Whiteboard.

Image credit: Misterinnovation.com

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Innovation Through Experimentation

Strategies for Rapid Iteration

Innovation Through Experimentation

GUEST POST from Chateau G Pato

In today’s fast-paced and constantly evolving business landscape, innovation is the key to staying ahead of the competition. However, traditional approaches to innovation may not be enough to keep up with rapidly changing customer needs and preferences. To foster innovation, organizations must embrace a culture of experimentation and adopt strategies for rapid iteration. In this article, we will explore the importance of experimentation in driving innovation and discuss two case study examples to illustrate successful implementation.

Case Study 1: Google’s “20% Time”

One of the most famous examples of fostering innovation through experimentation is Google’s “20% time.” This initiative allows employees to spend 20% of their workweek, or one day, working on projects that interest them outside of their core responsibilities. This flexible structure encourages employees to explore new ideas and experiment with innovative solutions.

One notable outcome of Google’s 20% time is the creation of Gmail. Originally developed as an experiment by a Google engineer, the project emerged from the employee’s personal interest in improving email communication. Through rapid iteration and continuous experimentation, Gmail was refined and eventually launched as one of Google’s most successful products. This case study demonstrates how giving employees the freedom to experiment can lead to significant innovation and long-term success.

Case Study 2: Amazon’s A/B Testing

Amazon, the e-commerce giant, is renowned for its customer-centric approach and its relentless pursuit of innovation. One of the strategies Amazon uses to continuously iterate and improve its offerings is A/B testing. By testing different variations of a webpage, product listing, or feature, Amazon gathers quantitative data to make informed decisions about which version performs better. This data-driven approach allows them to quickly adapt and optimize their offerings to meet customer expectations.

An example of Amazon’s A/B testing is its product recommendation engine. By experimenting with different algorithms and design variations, Amazon continuously refines its recommendation engine to provide highly personalized and relevant product suggestions. This iterative process has played a significant role in enhancing the customer experience, boosting sales, and establishing Amazon as an industry leader.

Key Strategies for Rapid Iteration

1. Embrace Failure as Learning: Encourage a culture where failure is seen as an opportunity to learn and improve. Failure should not be punished but celebrated as a stepping stone towards success. By fostering an environment that values experimentation and risk-taking, organizations can encourage employees to think creatively and push boundaries.

2. Establish Rapid Feedback Loops: Implement processes that allow for quick feedback and iteration. Regularly gather feedback from customers, employees, and other stakeholders to identify areas for improvement. This feedback loop enables organizations to make iterative changes based on real-world data and inputs, leading to more relevant and effective solutions.

3. Set Clear Goals and Metrics: Clearly define innovation goals and establish measurable metrics to track progress. By setting concrete objectives, organizations can evaluate the success of their experiments and measure the impact on key performance indicators. This data-driven approach helps focus efforts on what truly matters and ensures that innovation initiatives align with overall business objectives.

Conclusion

Innovation through experimentation is crucial for organizations aiming to thrive in today’s rapidly changing business landscape. By adopting strategies for rapid iteration, businesses can foster a culture that encourages and celebrates innovation. The case study examples of Google’s “20% time” and Amazon’s A/B testing demonstrate how organizations can drive significant innovation by allowing employees to experiment and by leveraging quantitative data to inform decision-making. By embracing failure, establishing feedback loops, and setting clear goals and metrics, organizations can unleash their creative potential, adapt to evolving market dynamics, and stay ahead of the competition.

EDITOR’S NOTE: Braden Kelley’s Experiment Canvas™ can be a super useful FREE tool for your innovation or human-centered design pursuits.

“The Experiment Canvas™ is designed to help people instrument for learning fast in iterative new product development (NPD) or service development activities. The canvas will help you create new innovation possibilities in a more visual and collaborative way for greater alignment, accountability, and more successful outcomes.”

Image credit: misterinnovation.com

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Latest Interview with Voltage Control’s Innovation Series

Latest Interview with Voltage Control's Innovation Series

I recently had the opportunity to sit down with Douglas Ferguson of Voltage Control, to speak with him for their Innovation Series about my work as a popular keynote speaker, workshop facilitator, and thought leader on the topics of continuous innovation and change, and some of my work with clients to create innovative strategies, digital transformations, and increased organizational agility.

But mostly in this information-packed interview, I reveal key lessons from the Human-Centered Innovation Toolkit™ and my books Charting Change and Stoking Your Innovation Bonfire, including what’s hard about making innovation sustainable, the difference between invention and innovation and how the human elements are the key to successful innovation.

Here is an excerpt from the interview:

Start with the end in mind

Measurement provides a good starting point for establishing a strong foundation. “No innovation idea emerges fully formed. What people come up with are idea fragments and you have to collect and connect those dots to create a fully formed idea.” Based on those ideas, begin by identifying the value you want to create.

In order to make sure an initiative creates all the value it intends to, Braden advocates for the use of experiments with checkpoints. “You can have checkpoints that you establish along the way in terms of getting from what you’re able to do now versus your vision for the full value that you hope to create.” When thinking through experiments to validate assumptions about feasibility, viability, and desirability, also consider the flaws that might be present in your experimentation process.

“Start plotting out all the different experiments that you plan to run and the learning that you hope to get from each one. Those are the things that you can measure against to show that you’re making progress, to show that you’re going to get to the end and that you’re on track.”

The Experiment Canvas was designed to help with this:
Click here to get The Experiment Canvas™ (11″x17″)
Click here to get The Experiment Canvas™ poster (35″x56″)

Planning with the end in mind also includes consideration for scaling the invention. “Make sure you’re laying out checkpoints around your ability to scale it, because if you can’t get to that [wide] adoption point, then most likely you’re not going to get your investment back.” Think through what you’ll have to work against in order to scale so that profitability is part of the long-term plan from the beginning. Braden looks to companies like Tesla as an example of the potentially disastrous effects an inability to profitably scale can have on a product and a company’s viability despite having strong ideas and exploration practices.

Click here to read the entire interview

Here are some additional links:

1. Click here to visit the Voltage Control interview page

2. Click here to get your copy of Charting Change

3. Click here for more information on the Change Planning Toolkit™


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Interview with Launchstreet About How to Increase Organization Agility and Speed of Innovation

Interview with Launchstreet About How to Increase Organization Agility and Speed of Innovation

I was fortunate enough to join Tamara Ghandour of GoToLaunchStreet, a TED speaker and entrepreneur recently for an interview for her Launchstreet podcast. From building and running multi-million dollar businesses, advising Fortune 500 companies like Disney, Procter and Gamble and RICOH on fostering innovative ideas and people, Tamara’s life is about breaking through the status quo for game-changing results, and that’s what her keynotes, online programs and assessments can do for you. Obviously we’re kindred spirits so check out the lively conversation we had on her podcast!

Listen now to this episode on Inside LaunchStreet:

Download Link | iTunes | Stitcher Radio

Click the links below to find out more about the resources mentioned in the podcast:

The Experiment Canvas™

The Change Planning Toolkit™

Stoking Your Innovation Bonfire: A Roadmap to a Sustainable Culture of Ingenuity and Purpose, by Braden Kelley

Charting Change: A Visual Tool Kit for Making Change Stick, by Braden Kelley


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Ask Me Anything About the Change Planning Toolkit™

Ask Me Anything About the Change Planning Toolkit™

On Thursday, June 8th in the United States I will be answering any and all questions about the Change Planning Toolkit™ on TWITTER at the following local times:

9am PDT (West Coast USA)
Noon EDT (East Coast USA)
5pm GMT (UK)
6pm Western Europe
8pm Dubai
9:30 Mumbai
2am Sydney

I will be monitoring the hashtag #cptoolkit so be sure and include that in your tweet. Alternatively you can submit your questions using the contact form and I will answer them by email and in the tweet stream.

On Twitter I am @innovate if you aren’t already following me

Look for more AMA (Ask Me Anything) sessions on the Change Planning Toolkit™ and The Experiment Canvas™ in future weeks!


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