Let’s talk about Growth, Research, and Optimization

Topic – GRO Talks Roundtable 289

Emotional Intelligence in Experimentation Session 289: March 13, 2026 Here, have some conversation starters: What is a good balance of empathy and data when interpreting experiment results? When does empathy for users justify deviating from a top-performing variant? How can you effectively communicate test results that may be perceived as undesirable by stakeholders?

Topic – GRO Talks Roundtable 288

When Should You Start A/B Testing? Session 288: March 6, 2026 Here, have some conversation starters: What minimum conversions justify running an A/B test? Should you only A/B test after a feature has steady user traffic? When is it acceptable to A/B test algorithmic changes in production?

Topic – GRO Talks Roundtable 287

Price Testing Session 287: February 27, 2026 Here, have some conversation starters: What pricing signals should experiments measure to predict retention? A/B price tests without cohort analysis are misleading. How should pricing models adapt to seasonal demand shifts?

Topic – GRO Talks Roundtable 286

How to Do UI Revamps Safely Session 285: February 20, 2026 How do you balance conversion gains with user trust during a UI revamp? Full redesigns are reckless without experimentation. How should engineering manage rollback risk during UI revamps?

Topic – GRO Talks Roundtable 285

Session 285: AI lowering the barrier to building and shipping changes If AI makes shipping trivial, how should teams prevent a flood of poor experiments? Easier shipping may make A/B testing fatigue a product risk. AI-generated changes lacking a measurable hypotheses.

Topic – GRO Talks Roundtable 283

Session 284: How to Deal With Low Traffic When traffic is low, which metrics or methods should guide your experiments? Research methods as alternatives to A/B testing Use simulations and priors, not significance, when traffic is scarce

Topic – GRO Talks Roundtable 282

Session 282: Utilizing Pre-test Power Calcs How do you balance desired power against time to launch in experiments? Strict power thresholds often stall experiments more than they improve decisions. Underpowered tests lead teams to trust noise as signals and misallocate resources.

Topic – GRO Talks Roundtable 280

The limits of experimentation maturity When “leveling up” stops improving outcomes Process theater versus real impact Knowing when less rigor is actually better

Topic – GRO Talks Roundtable 279

Simulating Behavior with Synthetic Users What synthetic users are actually good at today Where simulated behavior breaks down fast How teams are using them to shape experiments and ideas