Your onboarding feels generic and irrelevant
Ask users what they want to achieve during signup and tailor the entire onboarding flow to their answer.
When to use
Your product serves multiple use cases or user types. You're seeing drop-off during onboarding.
Hypothesis template
If we ask new users about their fill in: role/goal and personalize the onboarding to show fill in: relevant features, activation will increase by fill in: target% because users immediately see relevant value.
Method
The problem: You show the same onboarding to a marketer and a developer. Neither feels like the product was built for them.
What Notion did: Added a "What do you want to use Notion for?" screen during signup. Based on the answer, users get different templates, tutorials, and feature highlights.
The result: Personalized onboarding increased activation rates significantly. Users who selected a use case were more likely to complete setup and return the next day.
How to do it:
- Identify 3-4 main user types or goals (not 10 — keep it simple)
- Add one question after signup: "What's your main goal?" with visual options
- For each answer, customize: the dashboard they see, templates loaded, welcome message, and first suggested action
- Pre-populate their workspace with relevant sample content
- Track activation rate per segment to see which paths work
- Iterate on the weakest-performing path
Key insight: One question = 3x more relevant onboarding. Users don't want to explore — they want to see their use case immediately.
Success metrics
- •Activation rate per segment
- •Time to first value by segment
- •Day 1 return rate
- •Onboarding completion rate
Prerequisites
- At least 2-3 distinct user segments
- Content/templates to show each segment
- Analytics to track per-segment activation
Common pitfalls
- •Asking too many questions during signup
- •Creating segments that are too similar
- •Not actually changing the experience based on the answer
- •Forgetting to pre-populate with relevant content
Source: Notion. Personalized onboarding paths based on user intent.
Suggested ICE scores
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