← Google Interview Insights

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

SeniorPrefer not to say
Jun 2026

Summary

Google PM interview, one question, product sense focus. The accessibility angle made it more interesting than a typical design prompt but also way harder to scope.

Questions Asked (1)

Q1

Design a ride-hailing app for blind users.

Product Sense & IdeationAdaptability & AmbiguitySystem Design
Author's notes

My first instinct was to just list accessibility features and call it a day, which would've been a disaster.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Start by clarifying the scope and goals: focus on blind users, but consider the broader accessibility spectrum. Then, walk through the user journey, identifying pain points and proposing features that leverage multimodal interactions (voice, haptics, audio) and Google's strengths (AI, Maps). Finally, discuss trade-offs, metrics, and how you'd validate with real users.

Pro tip: Emphasize that accessibility features often benefit everyone (e.g., voice interfaces for drivers), and that designing for extreme users leads to better overall product design. Also, mention the importance of partnering with advocacy groups like the NFB for user testing.

1. Clarify and Define

Ask clarifying questions to understand the target user (blind or low-vision), their context (smartphone usage, assistive tech), and business goals (e.g., increase accessibility, market expansion). Define success metrics like ride completion rate, user satisfaction, and safety incidents.

2. User Journey Mapping

Map the end-to-end journey: requesting a ride, pickup, during ride, and drop-off. Identify key pain points for blind users at each stage, such as locating the car, communicating with the driver, and handling payments.

3. Feature Ideation

Propose features that address pain points using multimodal interactions: voice-guided booking, haptic feedback for orientation, audio cues for driver arrival, and integration with screen readers. Leverage Google's AI (e.g., Google Assistant, Live View in Maps) for real-time assistance.

4. Prioritization and Trade-offs

Prioritize features based on impact vs. effort, considering technical feasibility and user needs. Discuss trade-offs like privacy vs. safety (e.g., continuous location sharing) and the challenge of ensuring driver compliance.

5. Validation and Metrics

Outline a plan to test with blind users, including partnerships with advocacy groups. Define metrics to measure success, such as task success rate, time to complete a ride, and user feedback. Iterate based on learnings.

Key Points to Mention

  • Leverage existing assistive technologies (screen readers, voice assistants) and ensure compatibility.
  • Use multimodal feedback: voice, sound, haptics, and possibly tactile cues.
  • Address safety concerns: verifying the correct driver, sharing trip details with trusted contacts.
  • Consider the driver side: training, incentives, and tools to assist blind passengers.
  • Design for the entire journey, including payment and post-ride support.
  • Measure success with accessibility-specific metrics and iterate with user testing.

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