Experiment design for future bets

Problem

Future bets on the connector pack platform—community-contributed packs, AI-generated dashboards, self-serve pack customization—require significant investment but have uncertain payoff. Without designed validation experiments (lightweight prototypes, user interviews, A/B tests, or instrumented feature flags), the team will either over-invest in ideas that don't pan out or under-invest in high-value ideas because the risk feels too high. Pre-designed experiments with clear success criteria allow the team to test hypotheses cheaply before committing to full implementation, reducing the cost of wrong bets on the pack publishing workflow.

Context

Possible Solutions

Plan

Implementation Progress

Review Feedback

• Review cleared