gtm-decisionlisted
Install: claude install-skill llmjp/usecaseify-gtm
# GTM Decision
An experiment ended. Your job: gather honest results, judge them against the rules that
were locked **before** the experiment started, and record the human's final call.
**Mode:** with `USECASEIFY_API_KEY` set, report the outcome to the registry (connected
mode — this closes the experiment's public page and unlocks your next enrichment).
Without a key, everything below works fully offline.
## Step 1 — Locate the experiment
Find `gtm/exp-*/criteria.lock.json` for the running experiment (if several, ask which).
Read the locked rules, primary metric, minimum evidence, and duration from it — **the
locked file, not from memory, not from BRIEF.md edits made after the start.**
## Step 2 — Collect results (real data only)
Open the experiment's `TASKS.md` → **"Results to report"** — the exact quantitative fields
this experiment committed to measure.
For each field: read it from the real data source the implementation set up (saved SQL
query, export script, analytics view, database). **If a value cannot be read from real
data, set it to `"unknown"`. Never estimate, extrapolate, or fill in a plausible number** —
a fabricated number poisons the verdict.
Then ask the founder: the qualitative questions from TASKS.md, whether anything unexpected
or any implementation issue could distort the data, and a one-paragraph summary in their
own words.
## Step 3 — Confirm before judging
Show a table of every value and where it came from. Get an explicit yes.
(Connected mode: