| name | managing-experiment-lifecycle |
| description | Guides experiment state transitions: launching, pausing, resuming, freezing/unfreezing exposure, ending, shipping variants, archiving, resetting, duplicating, and copying to another project. Covers preconditions, implications for variant assignment and analysis, and the decision framework for when to use each action.
TRIGGER when: user asks to launch, pause, resume, end, ship, archive, reset, duplicate, or copy an experiment to another project, or to freeze/unfreeze exposure (stop enrolling new users while metrics keep flowing, or reopen enrollment).
DO NOT TRIGGER when: user is creating an experiment (use creating-experiments), configuring rollout (use configuring-experiment-rollout), or setting up metrics (use configuring-experiment-analytics). |
Managing experiment lifecycle
This skill covers experiment state transitions — what each action does, when to use it, and how it affects variant assignment and analysis.
State diagram
draft ──launch──▶ running ──end──▶ stopped ──archive──▶ archived
│ │ ▲ │
│ pause resume ship_variant
│ │ │ (also ends if running)
│ ▼ │
│ paused (flag inactive, still "running" status)
│
├─freeze_exposure──▶ exposure_frozen ──unfreeze_exposure──▶ running
│ (enrollment closed, metrics keep flowing)
Any non-draft state ──reset──▶ draft
Actions and their implications
For each action, the two key questions:
- Who sees what variant? (user perspective)
- Who is in my analysis? (statistical perspective)
Launch (experiment-launch)
Transitions draft → running. Activates the feature flag and sets start_date.
- Preconditions: must be in draft, flag needs 2-20 multivariate variants (no specific key required; the baseline defaults to "control" when present, else the first variant)
- Pre-launch checklist: has at least one metric? Variants correct? Flag implemented in code?
- Variants: users start being bucketed into variants based on the configured split
- Analysis: data collection begins from
start_date
No request body needed.
Pause (experiment-pause)
Deactivates the feature flag. Users fall back to the default experience (typically control).
- Preconditions: must be running and not already paused
- Variants: flag is not returned by
/decide — no new exposure events recorded
- Analysis: no new data while paused, but existing data is preserved. Experiment stays "running".
No request body. Use experiment-resume to reactivate.
Resume (experiment-resume)
Reactivates the feature flag after a pause. Users are re-bucketed deterministically into the same variants.
- Preconditions: must be paused
- Variants: same assignment as before pause — deterministic bucketing
- Analysis: exposure tracking resumes
No request body.
Freeze exposure (experiment-freeze-exposure)
Stops enrolling new users while everything else keeps going: already-enrolled users keep their variant, metrics keep flowing, and end_date stays null.
Snapshots the already-exposed users into a static cohort and narrows every release condition on the feature flag to that cohort.
Status becomes exposure_frozen.
Use for long-horizon metrics (revenue, LTV, retention, renewals) when the sample is big enough and you want to stop adding users without stopping measurement.
Neither end nor pause fits that job: end stops measurement at end_date, and pause deactivates the flag for everyone.
- Preconditions: must be running (not draft, stopped, paused, or already frozen), flag linked and not deleted, at least one release condition
- Variants: enrolled users keep their variant (deterministic bucketing); new users no longer match the flag
- Analysis: exposures stop growing (a flat exposure curve is expected), but metric data keeps accumulating for enrolled users
Timing: the exposure scan and cohort snapshot run synchronously inside the API call, and duration scales with the number of exposed persons — an experiment with tens of thousands of exposed users can take on the order of tens of seconds.
Set expectations with the user, wait for the response, and don't treat a slow call as a failure or retry it.
Not applicable (400) for:
- Group-aggregated experiments — the flag targets groups, not persons, and a person cohort can't freeze group-based matching
- Experiments in a holdout — holdout assignment is evaluated before release conditions, so new users would keep entering the holdout
- Flags with early access conditions — also evaluated before release conditions, so freezing can't stop new enrollment
- Mostly-anonymous exposure (e.g. experiments on logged-out surfaces) — anonymous "personless" users can never match a person cohort and would silently lose their variant, so freezes with more than a small unresolved share are rejected
- Very large exposed sets — the exposure scan is bounded by a person cap and a timeout; over either bound the API returns a clean 400 rather than freezing
When a freeze is rejected, explain which limitation applies rather than retrying — these are structural, not transient.
Interactions with other actions: ship-variant and reset strip the freeze (both also delete the snapshot cohort); end does NOT touch the flag, so ending a frozen experiment leaves the flag narrowed to the snapshot cohort.
SDKs using local evaluation can't resolve static cohorts, so a frozen flag evaluates via the /decide endpoint (standard static-cohort behavior).
Exposures ingested in the final moments before freezing may miss the snapshot (ingestion lag).
No request body. Use experiment-unfreeze-exposure to reopen enrollment.
Unfreeze exposure (experiment-unfreeze-exposure)
Reopens enrollment on an exposure-frozen experiment.
Removes the snapshot-cohort condition and freeze markers from every release group, restoring the flag's original targeting, and deletes the snapshot cohort.
Status returns to running.
- Preconditions: exposure must be frozen (and the experiment not ended)
- Variants: enrolled users keep their variant; new users can enroll again under the original release conditions
- Analysis: exposures resume growing
Can introduce bias: reopening enrollment re-exposes the flag to a potentially new population.
Users who enrolled before the freeze and those who enroll after the unfreeze joined at different times, and possibly under different conditions — mixing the two cohorts in one analysis can bias the results.
Warn the user before unfreezing, especially after a long freeze or if the audience or product changed in between. If they only wanted to sanity-check the frozen results, they may not need to unfreeze at all.
No request body.
End (experiment-end)
Sets end_date and transitions to stopped. The feature flag is NOT modified.
- Preconditions: must be running (launched, not already stopped)
- Variants: users continue seeing assigned variants (flag stays active)
- Analysis: results frozen to data up to
end_date
Optional body: conclusion ("won", "lost", "inconclusive", "stopped_early", "invalid") and conclusion_comment.
Use this when you want to freeze results without changing what users see.
If the experiment's exposure was frozen, ending does not strip the freeze — the flag stays narrowed to the snapshot cohort (unfreeze first, or ship a variant, if that's not desired).
Ship variant (experiment-ship-variant)
Rewrites the feature flag so the selected variant is served to 100% of users.
- Preconditions: must be launched (running or stopped). Cannot ship from draft.
- Variants: ALL users see the shipped variant. The flag is rewritten with a catch-all group.
- Analysis: if still running, the experiment is also ended (end_date set)
Always confirm with the user before shipping — this permanently rewrites the feature flag.
Required: variant_key (e.g. "test"). Optional: conclusion, conclusion_comment.
Returns 409 if an approval policy requires review before the flag change.
Archive (experiment-archive)
Hides a stopped experiment from the default list view.
- Preconditions: must be stopped (end_date set)
- Variants: no change — flag is unaffected
- Analysis: no change — results remain accessible
No request body. Can be restored by setting archived=false via experiment-update.
Reset (experiment-reset)
Returns an experiment to draft state. Clears start_date, end_date, conclusion, and archived.
- Preconditions: must not already be in draft
- Variants: flag is left unchanged — users continue seeing assigned variants
- Analysis: previously collected data still exists but won't be included in results unless
start_date is adjusted after re-launch
No request body.
Duplicate (experiment-duplicate)
Creates a copy as a new draft with fresh dates and no results.
Important: always provide a unique feature_flag_key different from the original. If the same key is used, both experiments share a flag — changes to one affect both.
Optional: custom name (defaults to "Original Name (Copy)").
Copy to project (experiment-copy-to-project)
Copies an experiment into a different project in the same organization as a new draft. Use this instead of
experiment-duplicate when the copy should land in another project; use duplicate when it stays in the same project.
- Preconditions: source must not use legacy metrics; target project must be in the same organization and you must
have write access to it. Cannot copy across organizations or regions.
- What's copied: name, description, type, parameters, filters, primary/secondary metrics (fresh uuids), stats and
scheduling config, exposure criteria. Not copied: saved-metric references (project-scoped), holdout, exposure
cohort, dates, results, conclusion.
- Feature flag:
target_team_id is required; feature_flag_key is optional. The resolved key is then looked up
in the target project, and the lookup result — not whether you passed the key — decides what happens:
- If
feature_flag_key is omitted: it defaults to the source experiment's flag key. That key normally
doesn't exist in the target project, so a new flag with it is created there. (The default can still collide — see
the next point — so to be safe, pass an explicit key.)
- If the resolved key already exists as a flag in the target project: the copy shares that existing flag
instead of creating one. Both experiments then point at the same flag, so lifecycle ops (ship, pause) on either
affect both. The existing flag must be multivariate with 2-20 variants, otherwise the call returns 400.
- If the resolved key does not exist in the target project: a new, independent flag is created with that key.
To guarantee independence, pass a
feature_flag_key that doesn't already exist in the target.
Confirm the source experiment and target project by name before calling — this writes into a project the user
isn't looking at. The returned experiment (and its id) belongs to the target project.
Decision framework
| Situation | Action | Tool |
|---|
| Draft ready, flag implemented, metrics set | Launch | experiment-launch |
| Clear winner, significant results | Ship the winning variant | experiment-ship-variant |
| No significant difference after sufficient time | End as inconclusive | experiment-end |
| Something wrong, need to stop exposure temporarily | Pause | experiment-pause |
| Resume after pause | Resume | experiment-resume |
| Stop enrolling new users, keep measuring enrolled | Freeze exposure | experiment-freeze-exposure |
| Reopen enrollment after a freeze | Unfreeze exposure | experiment-unfreeze-exposure |
| Experiment ended, ready to clean up | Archive | experiment-archive |
| Need to start over with same config | Reset to draft | experiment-reset |
| Want a similar experiment with a fresh start | Duplicate | experiment-duplicate |
| Want the same experiment in a different project | Copy to another project | experiment-copy-to-project |
Resolving experiments
All lifecycle actions require an experiment ID. If you don't have one, load the
finding-experiments skill to resolve the user's reference (name, description,
"latest", etc.) to a concrete ID before proceeding.
Error handling
| Error message | Meaning |
|---|
| "Experiment has already been launched." | Can't launch a non-draft experiment |
| "Experiment has not been launched yet." | Can't end/pause/ship a draft |
| "Experiment has already ended." | Can't end/pause a stopped experiment |
| "Experiment is already paused." | Use resume instead |
| "Experiment is not paused." | It's already active |
| "Experiment is already in draft state." | Nothing to reset |
| "Experiment is already archived." | Already done |
| "Experiment exposure is already frozen." | Nothing to freeze |
| "Experiment exposure is not frozen." | Nothing to unfreeze |
| "Cannot freeze a paused experiment. Resume it first." | Resume, then freeze |
| "Group-aggregated experiments cannot have their exposure frozen." | Structural limitation — don't retry |
When you get a 400, explain the situation to the user rather than retrying.
