← Twitter Interview Insights

Twitter·Product Manager·Onsite - Product Sense / Strategy·Senior

Senior
Jun 2026

Summary

Product sense interview at Twitter, one question about whether Twitter should build a Stories feature. Pretty open-ended, not much else to go on.

Questions Asked (1)

Q1

Should Twitter build a Stories feature?

Product StrategyProduct Sense & IdeationRoadmap Prioritization
Author's notes

This is the kind of question where you can go a dozen directions and none of them feel obviously right.

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AI HintsAI Generated

Suggested Approach

Start by clarifying Twitter's strategic goals and the problem Stories would solve, then evaluate the feature against user needs, competitive landscape, and business impact. Conclude with a clear recommendation and a phased rollout plan with success metrics.

Pro tip: Acknowledge Twitter's unique real-time, public conversation model and avoid blindly copying competitors; instead, propose a Twitter-native adaptation that enhances the core experience.

1. Clarify Objectives

Ask about Twitter's current strategic priorities (e.g., user growth, engagement, monetization) and the specific problem Stories would address.

2. Assess User Needs

Analyze whether Twitter users have an unmet need for ephemeral, visual content and how it fits with existing behaviors like tweeting and Fleets.

3. Evaluate Competitive Landscape

Compare with Snapchat, Instagram, and LinkedIn Stories to identify best practices and potential differentiation for Twitter.

4. Weigh Business Impact

Consider potential effects on engagement, ad revenue, and brand perception, including risks like cannibalization or user confusion.

5. Recommend and Plan

Give a clear yes/no/maybe recommendation, outline a phased rollout (e.g., pilot, iterate), and define success metrics (e.g., DAU, time spent).

Key Points to Mention

  • Twitter's core strength in real-time public conversation and how Stories might complement or conflict with it.
  • The failure of Fleets as a lesson in product-market fit and user adoption.
  • Competitive analysis: Instagram Stories' success and LinkedIn Stories' shutdown.
  • Monetization opportunities: ads in Stories and potential impact on existing ad products.
  • User segmentation: which users (creators, casual users) would benefit most.
  • Technical and moderation challenges: ephemeral content and abuse prevention.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.