Design a Feature to Increase Data Quality
You are the PM for a CRM. Design a feature that incentivizes sales representatives to input accurate and complete data into the system, improving overall data quality.
Why Interviewers Ask This
Interviewers ask this to evaluate your ability to balance user incentives with data integrity in a complex enterprise ecosystem. They want to see if you can identify behavioral friction for sales reps, design non-intrusive nudges rather than rigid controls, and align data quality improvements with revenue goals typical of Salesforce's customer-centric philosophy.
How to Answer This Question
1. Clarify the problem: Define 'data quality' specifically (e.g., missing phone numbers vs. duplicate accounts) and acknowledge the rep's primary goal is selling, not data entry.
2. Analyze root causes: Explain why reps skip fields (time pressure, lack of immediate value) using a framework like 'Cost vs. Benefit'.
3. Propose a solution framework: Suggest a 'Gamified Validation' feature where completing specific high-value fields unlocks immediate utility, such as faster lead routing or visibility into deal velocity.
4. Define success metrics: Outline how you will measure impact, focusing on adoption rates, field completion percentages, and downstream effects on conversion.
5. Discuss trade-offs: Briefly mention potential downsides like UI clutter and how you would mitigate them through progressive disclosure.
Key Points to Cover
- Identifying the root cause of poor data entry as a behavioral issue rather than just a technical one
- Proposing solutions that offer immediate value to the user (sales rep) to drive adoption
- Using specific metrics like conversion rates rather than vague 'improvement' claims
- Demonstrating understanding of the tension between administrative tasks and selling activities
- Aligning the feature with the company's mission of helping customers succeed
Sample Answer
To increase data quality without burdening sales reps, I would design a 'Smart Completion' feature that ties data accuracy to immediate workflow efficiency. First, I'd analyze our CRM usage logs to identify which incompl…
Common Mistakes to Avoid
- Suggesting mandatory fields everywhere, which ignores user experience and causes friction
- Focusing solely on technical enforcement without addressing human behavior and motivation
- Failing to define clear success metrics or how the feature impacts business outcomes
- Overlooking the immediate value proposition for the sales representative who must use the tool
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