Choices

Per-step answer distribution from onboarding.choice_selected. Bars are scaled within each step (so the choice picked by the most users always reaches 100%) — use the user count to read across steps.

Cohort

All users About to start Already on GLP-1

Window

7d 30d 90d

Already on GLP-1 · last 30 days · event = 'onboarding.choice_selected'

Welcome

welcome

1 answer

calories_and_protein

1 100%

Journey Status

journey_status

505 answers

already_on_glp1

489 96.8%
about_to_start

16 3.2%

Journey Affirmation

journey_affirmation

1 answer

No

1 100%

Gender Selection

gender_selection

518 answers

female

450 86.9%
male

66 12.7%
other

2 0.4%

Weight Goal

weight_goal

449 answers

lose

426 94.9%
maintain

18 4.0%
gain

5 1.1%

Weight Goal Affirmation

weight_goal_affirmation

1 answer

lose

1 100%

Activity Level

activity_level

670 answers

lightlyActive

435 64.9%
sedentary

125 18.7%
active

101 15.1%
veryActive

9 1.3%

Medication Selection

medication_selection

734 answers

tirzepatide

476 64.9%
semaglutide

213 29.0%
other

38 5.2%
dulaglutide

4 0.5%
orforglipron

3 0.4%

Dose Selection

dose_selection

208 answers

preset

192 92.3%
custom_or_other

16 7.7%

Frequency Selection

frequency_selection

488 answers

weekly

451 92.4%
custom

21 4.3%
daily

10 2.0%
not_sure

3 0.6%
biweekly

3 0.6%

device_type

device_type (not in lane graph)

532 answers

Single-use pen

302 56.8%
Auto-injector

110 20.7%
Syringe and vial

63 11.8%
Not sure

57 10.7%

hcp_recommendation

hcp_recommendation (not in lane graph)

515 answers

No

290 56.3%
Yes

225 43.7%

Notes

Bars are scaled within each step so the most-picked option always reaches the right edge. Use the user count on the right to compare across steps.
Steps with an (not in lane graph) tag come from a choice_selected emission whose step_id doesn't match any node in onboardingFlow.ts — usually an experimental copy variant or a stale telemetry id.
Cohort = All users includes anyone who emitted a choice_selected in the window. The two named cohorts apply the same filter the funnel page does (journey_status.choice = '…').