Funnel
Per-step viewers and completers from PostHog, joined to the cohort
lane order. Drop-off shows the ratio of viewers who reach the next
step — not viewed − completed,
which understates conversion on steps where users complete
asynchronously.
Cohort
About to start · last 90 days ·
choice_selected[step_id=journey_status].choice = 'about_to_start'
| Step | Viewers | Completers | View → next | Funnel |
|---|---|---|---|---|
| Welcome welcome | 2 | 2 | 100% 0 | |
| Sign In sign_in | 2 | 0 | 100% 0 | |
| AI Consent ai_consent | 2 | 2 | 0.0% −2 | |
| Name Input name_input | 0 | 0 | — 0 | |
| Name Affirmation name_affirmation | 0 | 0 | — +2 | |
| Journey Status journey_status | 2 | 2 | 100% 0 | |
| Journey Affirmation journey_affirmation | 2 | 2 | 100% 0 | |
| Gender Selection gender_selection | 2 | 2 | 100% 0 | |
| Birthday birthday_picker | 2 | 2 | 100% 0 | |
| Height height | 2 | 2 | 100% 0 | |
| Weight weight | 2 | 2 | 100% 0 | |
| Weight Goal weight_goal | 2 | 2 | 100% 0 | |
| Goal Weight goal_weight | 2 | 2 | 100% 0 | |
| Weight Pace weight_pace | 2 | 2 | 100% 0 | |
| Weight Goal Affirmation weight_goal_affirmation | 2 | 2 | 100% 0 | |
| Activity Level activity_level | 2 | 2 | 100% 0 | |
| Notifications Permission notifications_permission | 2 | 2 | 100% 0 | |
| HealthKit Benefits healthkit_benefits | 2 | 2 | 0.0% −2 | |
| Tracking Style
(flag: trackingStyleQuestion)
tracking_style | 0 | 0 | — 0 | |
| Tracking Affirmation
(flag: trackingStyleQuestion)
tracking_affirmation | 0 | 0 | — +2 | |
| Plan Preview plan_preview | 2 | 2 | 0.0% −2 | |
| App Store Review
(flag: reviewPromptEnabled)
app_store_review | 0 | 0 | — 0 | |
| Completion completion | 0 | 0 | — — | |
Notes
- View → next is the ratio of
users who viewed this step and also viewed the immediately-next
step in the cohort lane. The terminal step shows
—. Steps where ≥95% of viewers progress render in slate; 80–95% in amber; below 80% in red. -
Cohort split is derived from the user's
onboarding.choice_selectedevent on thejourney_statusstep (properties.choice). Users who drop off before that step are unattributed and fall out of both cohorts — their events appear under neither lane. -
Numbers are de-duplicated by
distinct_id, so a user re-entering the same step within the window counts once.