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 Already on GLP-1

Window

7d 30d 90d

About to start · last 30 days · choice_selected[step_id=journey_status].choice = 'about_to_start'

Step	Viewers	Completers	View → next
Welcome `welcome`	134	214	100% +32
Sign In `sign_in`	166	1	0.6% −165
AI Consent `ai_consent`	1	1	0.0% −1
Name Input `name_input`	0	0	— 0
Name Affirmation `name_affirmation`	0	0	— +213
Journey Status `journey_status`	213	213	100% −1
Journey Affirmation `journey_affirmation`	212	208	95.3% −10
Gender Selection `gender_selection`	202	202	100% 0
Birthday `birthday_picker`	202	200	99.0% −2
Height `height`	200	197	98.5% −3
Weight `weight`	197	196	99.5% −1
Weight Goal `weight_goal`	196	192	90.8% −18
Goal Weight `goal_weight`	178	175	98.3% −3
Weight Pace `weight_pace`	175	173	100% +12
Weight Goal Affirmation `weight_goal_affirmation`	187	186	99.5% −1
Activity Level `activity_level`	186	185	100% +1
Notifications Permission `notifications_permission`	187	186	98.4% −3
HealthKit Benefits `healthkit_benefits`	184	178	0.0% −184
Tracking Style (flag: trackingStyleQuestion) `tracking_style`	0	0	— 0
Tracking Affirmation (flag: trackingStyleQuestion) `tracking_affirmation`	0	0	— +178
Plan Preview `plan_preview`	178	172	0.0% −178
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_selected event on the journey_status step (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.