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Google·Software Engineer·Onsite - Product Sense / Strategy·Senior

Senior
May 2026

Summary

Interviewed for a product designer role at Google, got asked a research ops question that I didn't see coming at all.

Questions Asked (1)

Q1

How would you recruit participants for usability testing if you had no access to an existing client base or internal users?

Product Sense & IdeationAdaptability & Ambiguity
Author's notes

I fumbled this a bit.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal and constraints of the usability test, then propose a mix of creative recruitment channels that don't rely on existing users. Emphasize targeting the right participant profile and using incentives and screening to ensure quality data.

Pro tip: Leverage online communities and tools where your target users already gather, and consider offering non-monetary incentives like early access or gift cards to boost participation. Always pilot your recruitment message to avoid bias and ensure clarity.

1. Define participant criteria

Clearly outline the demographics, behaviors, and technical proficiency needed for the test to ensure you recruit the right users.

2. Identify accessible channels

List platforms where your target users are active, such as social media groups, forums, subreddits, or professional networks like LinkedIn.

3. Craft outreach and incentives

Develop a compelling recruitment message and offer appropriate incentives (e.g., gift cards, early access) to motivate participation.

4. Screen and schedule participants

Use a screening survey to filter out unqualified candidates and schedule sessions efficiently with tools like Calendly.

5. Pilot and iterate

Run a small pilot to test your recruitment approach, gather feedback, and refine your strategy for broader outreach.

Key Points to Mention

  • Use of online communities and social media for targeted outreach
  • Importance of screening to ensure participant quality
  • Incentives to encourage participation
  • Leveraging personal networks and snowball sampling
  • Utilizing crowdsourcing platforms like UserTesting or Respondent
  • Ensuring diversity and avoiding bias in participant selection

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