Experiment design for future bets¶
Problem¶
The team has several high-uncertainty ideas for the extension's future — deeper AI-assisted authoring, visual dashboard builders, cross-IDE portability, embedded collaboration — but no way to validate them cheaply before committing major engineering investment. Without designed experiments (prototypes, A/B tests, user interviews with clickable mockups, instrumented feature flags), the team must either bet big on unvalidated ideas or avoid risk entirely. Designing validation experiments now creates a repeatable playbook for testing future bets with minimal cost, so investment decisions are informed by evidence rather than intuition.
Context¶
Possible Solutions¶
Plan¶
Implementation Progress¶
Review Feedback¶
- Review cleared