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

All users · last 7 days · event = 'onboarding.choice_selected'

Welcome

welcome

1 answer

calories_and_protein

1 100%

Journey Status

journey_status

180 answers

already_on_glp1

125 69.4%
about_to_start

55 30.6%

Journey Affirmation

journey_affirmation

1 answer

No

1 100%

Gender Selection

gender_selection

204 answers

female

166 81.4%
male

38 18.6%

Weight Goal

weight_goal

167 answers

lose

155 92.8%
gain

6 3.6%
maintain

6 3.6%

Activity Level

activity_level

244 answers

lightlyActive

160 65.6%
active

45 18.4%
sedentary

38 15.6%
veryActive

1 0.4%

Medication Selection

medication_selection

185 answers

tirzepatide

122 65.9%
semaglutide

52 28.1%
other

11 5.9%

Dose Selection

dose_selection

59 answers

preset

53 89.8%
custom_or_other

6 10.2%

Frequency Selection

frequency_selection

126 answers

weekly

114 90.5%
custom

5 4.0%
daily

4 3.2%
biweekly

2 1.6%
not_sure

1 0.8%

device_type

device_type (not in lane graph)

133 answers

Single-use pen

77 57.9%
Auto-injector

24 18.0%
Syringe and vial

19 14.3%
Not sure

13 9.8%

hcp_recommendation

hcp_recommendation (not in lane graph)

185 answers

No

108 58.4%
Yes

77 41.6%

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 = '…').