Improve Reddit onboarding

### 1. Start by clarifying the goal The goal should not be just **sign-up completion**. It should be **new-user activation** and eventually **retention**. A good activation definition might be: - user joins the platform - subscribes to relevant communities - consumes meaningful content - performs a first valuable action such as upvote, save, comment, or post - returns later ### 2. Define the users Different new users need different onboarding paths. I would segment users into groups such as: - users with a clear topic in mind - users casually exploring - users arriving from search or shared links - users who want to create content - users who mainly want to read This matters because a generic onboarding flow often underperforms compared with a tailored one. ### 3. Diagnose the current funnel Before proposing changes, measure where people drop off. Example funnel: 1. landing page visit 2. account creation started 3. account creation completed 4. interest selection completed 5. first community joined 6. first meaningful content session 7. first interaction: upvote / save / comment / post 8. day-1 and day-7 return Use both quantitative and qualitative data: - funnel conversion analysis - session replays / clickstream - new-user surveys - support tickets - user interviews ### 4. Likely friction points For a platform like Reddit, common onboarding problems are: - too many choices too early - confusing community names and norms - low-quality first feed - fear of posting because rules feel unclear - weak explanation of why the platform is valuable - too much up-front friction before any reward is shown ### 5. Proposed improvements A strong answer should focus on getting users to value quickly. **A. Better intent capture** Ask a small number of high-signal questions: - topics of interest - reading vs posting intent - language / locale preferences - safe-content preferences Keep this lightweight. **B. Curated starter communities** Instead of showing a giant list, recommend a small, high-quality starter set with: - clear descriptions - sample posts - activity level - beginner friendliness **C. Personalized first-session feed** Show useful content immediately after account creation so the user sees value before being asked to do too much. **D. Explain community norms simply** Reddit-like platforms can be intimidating. Add short guidance on: - voting - commenting etiquette - community-specific rules - why posts may be removed **E. Low-risk first actions** Encourage easy early actions such as: - upvoting - saving posts - following communities - responding to starter prompts This lowers anxiety compared with asking for a full post immediately. **F. Progressive onboarding** Do not force every decision up front. Spread education and setup across the first few sessions. ### 6. Prioritization I would prioritize by **impact vs effort**. A practical MVP might be: 1. improve interest capture 2. improve initial community recommendations 3. improve first-feed quality 4. add lightweight rules education before first comment/post These are likely to move activation quickly without a full redesign. ### 7. Success metrics **Primary metrics** - activation rate - number of communities joined - first meaningful action rate - day-1 / day-7 retention **Secondary metrics** - feed dwell time - session depth - save / upvote / comment rate - first-post completion rate **Guardrails** - report rate - low-quality post attempts - churn / uninstall - notification opt-out ### 8. Experiment plan Run A/B tests by user segment. Examples: - new interest picker vs old picker - curated starter communities vs generic list - progressive onboarding vs one long setup flow Look at both short-term activation and longer-term retention. A flow that increases clicks but reduces trust or quality is not a win. ### 9. Risks and trade-offs - Too much personalization may narrow discovery. - Too many onboarding steps may reduce completion. - Too little guidance may create confusion and bad first posts. - Aggressive prompts may hurt trust. ### 10. Strong closing answer I would start by instrumenting the funnel, identify the biggest drop-off point, and optimize for fast activation: help users discover a few relevant communities, show them a personalized first feed quickly, and guide them toward a low-risk first action. Then I would validate the changes with segmented experiments and measure retention, not just sign-up completion.