Debugging Surveys

Debugging surveys

PostHog Surveys is a no-code in-app form builder. A customer creates a survey in the PostHog UI; it must then be evaluated and rendered by whichever SDK their app runs. Most "survey not showing" tickets are eligibility problems, not rendering bugs — the SDK correctly decided the user is not eligible, and the job is to find which gate failed and why.

Repos

GitHub is the source of truth for where the code lives. When you need to read or change SDK source, resolve a local checkout via the registry described in references/local-repos.md so a clone is found once and reused — don't re-clone every session. First time on a machine, run python3 scripts/repos.py init to auto-discover existing checkouts; thereafter python3 scripts/repos.py ensure <repo> prints the path (and --clone clones if missing).

Always check the local checkout is present and on a sane branch before quoting code; line numbers drift, so grep for the symbol rather than trusting a remembered line number.

Cross-SDK feature parity (check this FIRST)

A large class of tickets is "customer expects a feature their platform doesn't support." Confirm the survey's lib / the customer's platform before anything else, then consult this table. Verified against the SDK source — re-verify if it's been months, the gaps get filled over time.

Consequences worth memorizing:

• surveyPopupDelaySeconds is web-only. If a mobile ticket blames the delay, it's a red herring.
• URL targeting is effectively web-only. Mobile SDKs decode the field but never enforce it; React Native filters those surveys out entirely. A mobile survey with a URL condition behaves as "no URL condition" (mobile/flutter) or "never shows" (RN).
• Android ships no survey UI. The app (or the Flutter plugin) must provide a PostHogSurveysDelegate. "Survey never renders on Android" is often a missing delegate, not a PostHog bug.
• Flutter is hybrid: triggering/eligibility runs in the native iOS/Android layer; rendering is Dart (SurveyService.showSurvey → showModalBottomSheet). It does not "just call native" for UI. So a Flutter rendering bug lives in Dart; a Flutter eligibility bug lives in native.
• React Native wait period is silently disabled (the check is commented out). Don't blame the wait period on RN.

For a deeper version-by-version capability audit, see the survey-sdk-audit skill if available.

How a survey actually gets shown (the web eligibility pipeline)

The web SDK is the most complex and the most common in tickets. Mental model from packages/browser/src/extensions/surveys.tsx (checkSurveyEligibility) — checks run in order, first failure wins:

1. isSurveyRunning — has start_date, no end_date.
2. survey type is in-app (Popover / Widget / API).
3. linked_flag_key enabled (if set).
4. targeting_flag_key enabled (if set) — customer-defined property targeting.
5. _internalFlagCheckSatisfied — the auto-generated internal targeting flag.
6. hasWaitPeriodPassed — seenSurveyWaitPeriodInDays vs localStorage.lastSeenSurveyDate.
7. getSurveySeen — per-survey seen flag.

Then in getActiveMatchingSurveys: URL/device/selector match, event/action trigger fired, and flag re-check.

Two non-obvious facts that drive real tickets:

• The server returns ALL non-archived surveys (SurveyViewSet, products/surveys/backend/api/survey.py). It does not pre-filter by the internal targeting flag. All eligibility is client-side. So you cannot conclude "the backend excluded them" — the SDK did.
• The wait period has TWO independent implementations. canActivateRepeatedly (true when schedule: 'always') short-circuits _internalFlagCheckSatisfied (step 5) — so always bypasses the internal flag, including its $last_seen_survey_date rule. But hasWaitPeriodPassed (step 6) reads localStorage.lastSeenSurveyDate directly and is NOT bypassed by canActivateRepeatedly. So a schedule: 'always' survey with seenSurveyWaitPeriodInDays: 30 still enforces the 30-day wait via the localStorage path. lastSeenSurveyDate is updated whenever any survey is shown, regardless of completion.

Debugging workflow

1. Parse the ticket. Extract: org/project ID, instance (US vs EU — URLs differ), survey ID(s), the lib (platform), the symptom in precise terms, and what the customer already tried. If the ticket is aged or has prior support replies, the config may have been edited mid-thread — treat earlier claims as stale and re-pull current state.

2. Disambiguate "none" vs "fewer." Customers say "no responses" when they mean "fewer." Pull the survey shown vs survey sent counts before/after the suspected change (see references/diagnostic-queries.md). If the response rate (sent/shown) is stable, the problem is upstream eligibility (fewer people shown), not rendering or submission. This single check redirects most investigations correctly.

3. Platform parity check. Confirm the lib and consult the parity table. Eliminate features the platform doesn't support before investigating them.

4. Pull the survey definition. GET /api/projects/<id>/surveys/<sid>/. Inspect conditions (events, url, seenSurveyWaitPeriodInDays), appearance.surveyPopupDelaySeconds, schedule, linked_flag, targeting_flag, internal_targeting_flag.filters, responses_limit, iteration_*.

5. Pull the targeting-flag activity log for any "stopped showing" ticket. Cohort swaps and rollout changes are invisible in the current config but show up here: GET /api/projects/<id>/activity_log/?scope=FeatureFlag&item_id=<flag_id>&limit=20. Also ?scope=Survey&item_id=<sid> to see whether the survey itself was edited.

6. Confirm with events. Use $feature_flag_called to see what the gating flag actually returned for affected users, and whether $groups is set (see group-aggregation cause below). Use survey shown to see real reach vs the stats UI.

7. Diagnose against the known-cause catalog, confirm with one targeted query, then write the reply.

Known-cause catalog

Ordered roughly by how often they're the answer.

"Survey shows to fewer users than expected"

• surveyPopupDelaySeconds + URL re-check (web only). After the event fires and eligibility passes, the SDK waits N seconds, then re-checks doesSurveyUrlMatch against the current URL before rendering (handlePopoverSurvey). If the user navigated during the delay, the survey is silently dropped — no survey shown. Common on navigation-heavy apps with a non-trivial delay. Fix: lower the delay to 0–2s.
• seenSurveyWaitPeriodInDays + the customer's other surveys. Any survey shown to a user updates lastSeenSurveyDate; this survey is then blocked for the wait window. Completion status is irrelevant. Verify by checking whether the unshown cohort saw another survey recently — and confirm against a control group (do the shown users differ?). Fix: lower the wait period, or pause competing surveys.
• Cohort composition changed. If the survey targets a cohort and someone edited the source dynamic cohort (e.g. added a behavioral filter), every static snapshot taken afterward inherits the narrower definition. Reach drops without any survey-side change. Find it in the flag activity log (cohort swap) and confirm cohort sizes via static_cohort_people.

"Event-based survey never fires"

• Timing race at session start. Event captured before /api/surveys returns and the capture hook registers. Signature: event fires very early in session. Unavoidable client-side; mitigate by triggering on a slightly later event.
• Group-aggregated linked_flag with no group context. If linked_flag (or targeting flag) has aggregation_group_type_index set, it evaluates against a group, not the person. Without posthog.group(<index>, <key>) set before the event fires, the flag returns false and the survey never shows. Signature: $feature_flag_called returns false with empty $groups, and the $feature/<key> property is missing from the trigger events. Fix: set group context in the SDK, or switch the survey to a person-level flag.
• Customer wired the survey to the wrong flag. They create a flag with email/property targeting but the survey's linked_flag/targeting_flag points at a different flag. Always confirm the actual linked_flag.key / targeting_flag.key from the API — don't trust the customer's description.
• Behavioral cohort in a realtime flag. A cohort with performed_event/behavioral filters can't be evaluated in realtime flag bytecode ("Unsupported behavioral filter for realtime bytecode", posthog/api/cohort.py). The cohort shows a bytecode_error. Surveys/flags can't use it directly — the customer must make a static copy of the cohort and target that.

"Responses show as zero in the UI but raw events exist"

• Max AI corrupted the survey definition. Max's edit_survey tool (products/surveys/backend/max_tools.py) has two failure modes: (a) on reorder/edit it rebuilds each question from QUESTION_TYPE_MAP (nps→scale 10, csat→scale 5, etc.), so picking the wrong semantic type silently changes a question's scale; (b) the id field expects 1-indexed labels ("1","2") — passing a real UUID falls through and a fresh UUID is generated, so responses keyed by $survey_response_<old_uuid> no longer join to the question. Raw events are intact; only the definition is wrong. Fix: PATCH the questions array back to the original UUIDs (recoverable from the response events) and restore the question type. Tell the customer to edit question text via the UI, and avoid asking Max to reorder questions on a survey with historical responses until the tool guards UUIDs.

"Cohort count shows 0 but the cohort is populated"

• Cosmetic UI bug, does not affect targeting. Confirm the real count via static_cohort_people. NOTE: this is not a simple one-line bug — the normal insert_cohort_from_query path does recompute count via count_cohort_members; the count=0 display only appears on certain failure paths. Do not promise a quick fix without reproducing the specific path.

General caution

• Aged tickets are dirty. Config may have been edited by the customer or a prior agent during troubleshooting. Pull activity logs; frame secondary findings as "while you're in there, double-check X" rather than "we found X is broken."
• The stats UI can undercount vs raw survey shown events. If the numbers don't reconcile, trust the raw events and flag the discrepancy as a separate follow-up.

Diagnostic queries

Read-only HogQL templates for the disambiguators and confirmations above live in references/diagnostic-queries.md. Run them via the PostHog MCP execute-sql against the customer's project.

Access for debugging

Only investigate a project tied to a genuine support request from that customer — the IDs should come from a real ticket, not from someone asking you to look up an org/survey they can't point to a request for. Staff access is broad; don't freelance across projects.

Prefer read-only paths in this order:

1. PostHog MCP tools (survey, feature-flag, cohorts, execute-sql, activity-log, persons) against the customer's project. This is read-only by default and the safest way to inspect config and run queries — no impersonation, no write risk. Use this first.
2. Survey/flag API endpoints read via the browser while impersonating (staff). Good for the full JSON the MCP may not surface verbatim (e.g. raw internal_targeting_flag.filters).
3. Django admin only when 1 and 2 can't answer it. It's powerful and write-capable, so treat it as read-only by discipline: look, don't change. Never edit a customer's survey/flag/cohort from admin without explicit customer consent.

When you need a value the MCP can't infer (project ID, instance, which survey), ask the operator to paste the survey API JSON — it skips several round-trips.

Writing the customer reply

Voice derived from the PostHog handbook support values (reassuringly human, humble, ship fixes, clear with no jargon). Rules:

• Lead with the cause, then the fix. One line on what's happening, then what to do.
• Bold the issue and bold each action. Make the problem and the next step scannable.
• Use the labels the customer sees in the UI, never internal field names. Grep frontend/src/scenes/surveys/ for the real string. E.g. surveyPopupDelaySeconds → "Delay survey popup by at least N seconds once the display conditions are met"; the wait period is "Survey wait period" / "Don't show this survey if another one was shown to the user in the last N days". The customer's own event names stay verbatim.
• Link every PostHog entity by ID. Cohorts: https://<us|eu>.posthog.com/project/<id>/cohorts/<cohort_id>. Flags: .../feature_flags/<flag_id>. Surveys: .../surveys/<survey_id>. Match the customer's instance (US vs EU).
• Predict the expected outcome so the customer can verify the fix worked ("you should see ~X going forward").
• Gauge the customer's technical level. If they can run SQL and hit the API, offer the patch path. If not, offer to apply the fix ourselves (and confirm any destructive detail first).
• Do NOT offer to "hop on a call" or book a meeting. PostHog support is async-first. Close with "We're always here if you need a follow-up."
• Never leak internals — no MCP tool names, code paths, line numbers, Django admin, staff impersonation, or other customers. Keep it to product concepts a customer recognizes.
• Run the final draft through a humanizer skill before sending (if you have one, e.g. humanizer). Strip em dashes, setup phrases ("Here's the thing:", "Three things to know"), rule-of-three padding, and tidy parallel list structure. The reply should read like a person typed it.

Reply skeleton:

Hi <name>,

<one line: tracked it down + the cause in plain terms.>

**The problem:** <what's happening, with the evidence you pulled.>

**<Fastest fix / two ways to fix it>:**
1. **<action>** — <why / how.>
2. **<action>** — <why / how.>

**Also worth knowing while you're in there:** <secondary finding, softened.>

We're always here if you need a follow-up.

Feature work — shipping across SDKs

A survey capability is only "done" when it works (or is deliberately scoped out) on every SDK a customer might use. When building or changing survey behavior:

1. Land the backend/UI change in this repo (serializer + frontend/src/scenes/surveys/).
2. Decide the per-SDK story using the parity table. If a feature lands web-only (like surveyPopupDelaySeconds), say so explicitly in the docs and the PR — silent gaps become support tickets.
3. Implement in the SDK repos (posthog-js covers both web and React Native), then posthog-ios, posthog-android, and the Flutter Dart layer. Remember Flutter's split: eligibility/trigger logic is native (iOS/Android), rendering is Dart. Use the registry in references/local-repos.md to find each checkout.
4. Update the posthog.com docs (contents/docs/surveys/) and this parity table.
5. Use the survey-sdk-audit skill (if available) to confirm version requirements and cross-SDK coverage.