/cs-product-loop

Slash Command Source

Inputs (defaults: discovery_log.json and ost.json in the workspace; shapes in product-team/skills/product-skills/assets/):

$ARGUMENTS

Sequence (one iteration per invocation)

1. Observe —

   python3 product-team/skills/product-skills/scripts/discovery_cadence_tracker.py --input discovery_log.json
   

   Exit 5 (< 2 interviews): there is no cadence to measure — help the user book the first two weekly touchpoints and write the outcome statement; stop there.
2. Choose — the report's next_loop_action is the choice. Typical actions: book the missing weekly touchpoint · re-anchor the interview guide on the outcome · test the top untested assumption (route to product-discovery's assumption_mapper to rank).
3. Act — execute with the routed sub-skill's tools (ux-researcher-designer for the interview, experiment-designer for the test design). One bounded action per iteration.
4. Verify —

   python3 product-team/skills/product-skills/scripts/ost_linter.py --input ost.json
   

   Exit 2 → fix the listed O1–O5 violations before the tree may drive any roadmap or experiment. Then re-run the cadence tracker and confirm the health score did not drop.
5. Record — update discovery_log.json (interview/test entries) and ost.json; note the health score in the digest so the trend is visible across iterations.
6. Repeat or stop — terminal states:
7. Graduate: HEALTHY + a validated assumption → hand off to experiment-designer (A/B gate) or product-manager-toolkit (PRD with eval spec if the feature is AI-powered).
8. Escalate: DORMANT 4+ weeks → name the product lead and say the habit is dead — never let discovery die silently.
9. Clean no-op: cadence HEALTHY, no gaps — book next week's touchpoint and exit.

Rules

• Never modify the linter or tracker to make a gate pass.
• Insights require recurrence across independent participants — singletons stay anecdotes.
• The loop edits the log and the tree, never the gates (locked-evaluator invariant).