Temperance Beta Launch Research
Launch research for Temperance, plus a user-panel subagent skill
Typeinternal
Statusin-progress
Updated2026-07-09
Commits15
SourcePrivate
What it is
A research repo supporting Temperance's beta launch: a product guide written from a read of the v1 codebase, a nine-platform organic social launch playbook, a study of Instagram's 2010 launch, and snapshots of restaurant-booking terms and plans. It also holds a 'user panel' skill that convenes simulated user personas as parallel subagents and returns a SHIP / ITERATE / CUT call on a feature.
The problem
Product and launch decisions need grounded research without a dedicated research team.
How it works
- Product guide with a drift appendix wherever brand docs disagree with shipped code
- User-panel skill: one independent subagent per grounded persona, results rolled into a verdict
- Fact-checked launch playbook with per-platform formats, a relative-week calendar and measurement plan
- Specs for preference memory, outcome resolution and the product shift
Stack
MarkdownClaude Code skillsSubagents
Disciplines
For your business
AI-assisted market and launch research, including simulated user panels that pressure-test a feature before it is built.