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Transcript

Experimentation at Lucid Software with Tim Mehta

Learn what Tim Mehta has to say about product experimentation at Lucid Software and his time at Microsoft, plus get your coupon code for Conversion Live 2025!

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Tim Mehta recently led the growth product teams at Lucid Software as Director of Growth, where he oversaw user acquisition, onboarding, monetization, expansion, and retention. With over a decade of experience in marketing and product experimentation, he has worked both in-house and on the agency side with brands like Microsoft, AT&T, Xbox, and Expedia. His expertise lies in conversion rate optimization (CRO) and building experimentation frameworks within organizations.

In this episode, Tim shares his thoughts on how to build a strong experimentation culture by contrasting his experience at Microsoft, where experimentation was highly structured and deeply embedded, with Lucid’s decentralized model, where teams operate independently with varying processes. Tim explains the challenges of this approach—siloed learnings, inefficiencies, and inconsistent methodologies—and why Tim wanted to shifting Lucid toward a Center of Excellence (COE) to drive alignment, scalability, and better decision-making.

We also discussed the trade-offs between speed and rigor in experimentation. Tim explains how product teams must balance test velocity with the complexity of working within a live product environment, where small changes can have significant ripple effects. We also discussed the need for a strong operational framework, cross-team collaboration, and the right tooling to ensure experimentation leads to effective change. Finally, we touch on the evolving role of AI in experimentation, particularly in surfacing insights and streamlining workflows.

In this episode, we cover:

  • (00:00) Introduction to Tim Mehta and Lucid Software

  • (05:07) Comparing Experimentation Culture at Microsoft and Lucid

  • (11:25) Decentralized vs. Center of Excellence Models

  • (25:21) Balancing Experimentation: Acquisition vs. Retention

  • (30:01) Principles of Experimentation: Integrity, Velocity, and Documentation

  • (39:53) The Role of AI in Experimentation and Documentation

  • (50:21) Resources and Final Thoughts

Referenced


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Upcoming Editions

  • Price Testing with Intelligems

  • Experimentation at Comcast

  • Experimentation at Meta


📚 Worth Exploring

Drop-Down Usability: When You Should (and Shouldn’t) Use Them

Baymard’s article explains that drop-down menus work best with 5 to 10 options. Too many options can confuse users, and sometimes using text fields is a better choice. It shows how to design drop-downs that are easier for people to use. Link to article

TBM 340: Path to $

John Cutler’s article explains how different types of teams work and how they demonstrate their value to the company. For an experimentation team, it emphasizes the importance of collaborating with other teams, especially those directly connected to customer outcomes or business goals. Which kind of teams do you support? Link to article

Six Mind-Benders that will change how you optimize

This Convert.com post shares six CRO lessons, like valuing relationships over data, focusing on custom features, and testing product finders. And by the way, #1 is the best mind-bender—it’ll make you rethink everything! 😉 Link to post

Deliveroo experimentation principles

Deliveroo’s article talks about how to run good experiments, like having clear ideas and sharing results. Principle #4, which is often missed, says it’s important to balance how much experiments cost with the value they bring, and to make choices based on both data and the bigger picture. Link to article


👋 Hi, I’m Brian Poe, Founder and Chief Optimization Officer of Mammoth Insights, a boutique agency with 15+ years of experience helping mid-sized to enterprise companies improve digital strategies through affordable, high-quality Conversion Rate Optimization (CRO) research and experimentation. I’ve had the pleasure of working with leading global brands such as Best Buy, Verizon, Target, Ulta Beauty, Kia Motors of America and more.

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