Prompt
I'm building a mobile app and want to test onboarding flows with feature flags
Latest observation
Oct 13, 2026
OpenAI APIWeb search: off
A good way to test onboarding flows with feature flags is to treat each step as a controllable experiment rather than a hardcoded path.
Basic approach
-
Identify onboarding variants
- Full onboarding
- Shortened onboarding
- Skip onboarding
- Different welcome screens
- Different permission prompts
-
Create feature flags Example flags:
onboarding_enabledonboarding_variant_ashow_permission_stepskip_tutorialnew_home_experience
-
Gate the flow Use the flag value at app startup to decide which flow the user sees.
Example logic:
- If
onboarding_enabled = false→ go straight to home - If
onboarding_variant_a = true→ show new onboarding - Else → show default onboarding
- If
-
Target specific users Test with:
- Internal testers
- Beta users
- Specific cohorts
- Random percentage rollout
-
Measure outcomes Track:
- Completion rate
- Drop-off step
- Time to completion
- Conversion to signup / first action
Suggested setup
For mobile apps, feature flags are often managed with:
- LaunchDarkly
- Firebase Remote Config
- ConfigCat
- Statsig
- Split
Example rollout strategy
- Internal team: 100% new onboarding
- Beta users: 50/50 split
- Production: 5% rollout, then increase
Important testing tips
- Make flags deterministic so the same user sees the same flow
- Cache flags locally for offline support
- Add a fallback flow if flag fetch fails
- Avoid too many flags that can create confusing combinations
Example pseudo-logic
if featureFlag("onboarding_enabled") == false:
showHome()
else if featureFlag("onboarding_variant_a") == true:
showOnboardingA()
else:
showOnboardingDefault()
If you want, I can also help you design:
- a flag strategy for iOS/Android
- a testing matrix for onboarding variants
- or sample code in Swift/Kotlin/React Native.