How to Coach Enterprise Experimentation
Summary
In this talk, Alyssa Briggs shares her experience coaching enterprise experimentation, emphasizing that experimentation is a mindset for problem-solving by validating assumptions through small, fast tests. She highlights that executives often support experimentation in theory but struggle to embed it into daily work. Using Intuit as a case study, Briggs illustrates how simply training and embedding experiment coaches within teams transformed the company’s culture, enabling tens of thousands of experiments annually that generate millions in revenue. She describes three essential practices for experiment coaches: collaboratively planning experiments using an experiment grid, helping teams embrace and learn from failures by facing data honestly and conducting quick customer research, and catalyzing organizational change by spreading the coaching role and uncovering new opportunities for experimentation beyond product design. Briggs walks the audience through a live experiment about a name memory trick to demonstrate how to develop hypotheses and validate assumptions quickly. She also recounts a story where a small sales experiment disproved executives’ skepticism about a new product tier, leading to significant business impact and wider cultural adoption of experimentation. Briggs encourages everyone to adopt the experiment coaching mindset and start running small experiments to shift team behaviors and company culture.
Key Insights
-
•
Embedding experiment coaches within existing teams is key to sustaining a culture of experimentation.
-
•
Experimentation thrives on embracing small failures to avoid costly large ones.
-
•
Executives often support experimentation top-down, but real change happens when coaches integrate experiments into daily workflows.
-
•
The experiment grid is a powerful yet simple tool for collaboratively planning experiments by unpacking assumptions and defining testable hypotheses.
-
•
Most teams fail their first experiment, and coaches must help them face the data and learn rather than become discouraged.
-
•
Quick, informal customer research after an experiment helps uncover root causes and increases team engagement.
-
•
Consistently planning follow-up experiments builds momentum and prevents the 'one-and-done' pitfall.
-
•
Experiment coaching is not a full-time role but can be integrated as 10-20% of a team member’s responsibilities.
-
•
Experiments can test not just products but internal processes and business assumptions, unlocking broader innovation.
-
•
Demonstrating successful experiments with quantitative data can transform executive skepticism into enthusiastic support, driving significant business impact.
Notable Quotes
"If you’re afraid of failure, that’s okay. With experimentation, you’re going to fail—but in little tiny ways that don’t really matter."
"Executives get experimentation but often it doesn’t stick when people go back to their normal teams."
"The simple thing that worked at Intuit was training and embedding experiment coaches in teams."
"An experiment coach spends about 10 to 20 percent of their time helping the team change mindsets and actions."
"The most important tool is not for running experiments, but for planning them—the experiment grid."
"If we do X, then Y percent of people will do Z—that’s how you frame hypotheses to learn from both success and failure."
"It’s better to run lots of quick, cheap experiments to remove doubt than to wait for the perfect, statistically significant test."
"Nine out of ten teams fail their first experiment, which is normal but can be demoralizing."
"Helping your team face the data honestly and then diving into customer conversations helps uncover what went wrong."
"You know you’ve succeeded as a coach when you put yourself out of a job by giving away the role."
Or choose a question:
More Videos
"Everyone goes through quite an extensive application process, but it was stress-free and informal."
Marc Fonteijn Ru ButlerIncrease your confidence, influence, and impact (through a Professional Community)
December 3, 2024
"You have to make the hard thing easier to do. Behavioral change must be lower friction."
Dem Gerolemou Alexis Oh Neef RehmanClimate technology fundamentals
May 15, 2024
"We offer a quantitative approach so you can quickly recognize the strengths and weaknesses in a product compared to competitors."
Daniela Magaña Flores Ariane Rahn Jeff Ephraim BanderAhead of Competition: Learn What UX Benchmarking Can Do for Your Business Today
March 10, 2022
"We focused on consolidating frameworks and landed on Canvas, which now supports 45 teams and growing."
Abbey Smalley Sylas SouzaScaling UX Past the Size of Your Team
January 8, 2024
"We automated everything — now we click a button weekly to produce updated staffing and priority alignment scores."
Patrick CommarfordDesign Staffing for Impact
January 8, 2024
"The use of dovetail helps organize diverse information without losing the author’s voice or connection to original data."
Xenia Adjoubei Sean BruceEmpowering Communities Through the Researcher in Residence Program
March 29, 2023
"Designers need to speak truth to power and engage their creative abilities to materially change how and what is produced."
Craig VillamorDesign Systems for Ethical Design
January 26, 2023
"DP&M tools pull together necessary reference materials and design deliverables, showing how they relate to each other."
Jon Fukuda Ellie KryslDesign Planning and Management Support
October 3, 2023
"More frequent, open communication and direct conversations helped us avoid assumptions and deliver something usable quickly."
Iain McMaster IHan ChengDesign and Product: from Frenemy to Harmony
November 29, 2023
