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 30 days · event = 'onboarding.choice_selected'

Welcome

welcome

56 answers

calories_and_protein

56 100%

Journey Status

journey_status

193 answers

about_to_start

146 75.6%
already_on_glp1

47 24.4%

Gender Selection

gender_selection

171 answers

female

134 78.4%
male

24 14.0%
other

13 7.6%

Birthday

birthday_picker

24 answers

1995-07-03

12 50.0%
1996-07-03

12 50.0%

Height

height

12 answers

175.26

12 100%

Weight

weight

12 answers

95.34640709056436

12 100%

Weight Goal

weight_goal

123 answers

lose

108 87.8%
maintain

13 10.6%
gain

2 1.6%

Activity Level

activity_level

178 answers

lightlyActive

113 63.5%
sedentary

40 22.5%
active

21 11.8%
veryActive

4 2.2%

Medication Selection

medication_selection

29 answers

tirzepatide

19 65.5%
semaglutide

6 20.7%
other

4 13.8%

Dose Selection

dose_selection

13 answers

preset

11 84.6%
custom_or_other

2 15.4%

Frequency Selection

frequency_selection

17 answers

weekly

15 88.2%
daily

1 5.9%
not_sure

1 5.9%

Last Injection Date

last_injection_date

12 answers

not_sure

12 100%

injection_site_selection

injection_site_selection (not in lane graph)

12 answers

thigh

12 100%

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 = '…').