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

About to start · last 7 days · event = 'onboarding.choice_selected'

Journey Status

journey_status

56 answers

about_to_start

55 98.2%
already_on_glp1

1 1.8%

Journey Affirmation

journey_affirmation

1 answer

No

1 100%

Gender Selection

gender_selection

67 answers

female

53 79.1%
male

14 20.9%

Weight Goal

weight_goal

53 answers

lose

48 90.6%
gain

3 5.7%
maintain

2 3.8%

Activity Level

activity_level

81 answers

lightlyActive

51 63.0%
active

18 22.2%
sedentary

11 13.6%
veryActive

1 1.2%

Medication Selection

medication_selection

2 answers

tirzepatide

1 50.0%
semaglutide

1 50.0%

Dose Selection

dose_selection

1 answer

preset

1 100%

device_type

device_type (not in lane graph)

3 answers

Auto-injector

1 33.3%
Syringe and vial

1 33.3%
Not sure

1 33.3%

hcp_recommendation

hcp_recommendation (not in lane graph)

55 answers

No

31 56.4%
Yes

24 43.6%

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 = '…').