Business Intelligence Tool: Plan to Lift NPS From 25% to 75%
Company: Google
Role: Product Manager
Category: Product / Decision Making
Difficulty: medium
Interview Round: Other
You are the PM for a business intelligence product. Its NPS is low, at 25%, and the goal is to raise it to 75%. How would you get there?
```hint Break the score apart
The score is a mix of promoters, passives and detractors drawn from different kinds of users. Work out which users are detractors, and why, before choosing what to build.
```
### Clarifying Questions
- NPS is usually reported as a number between -100 and 100. Is 25% the score itself (promoters minus detractors), or the share of respondents who are promoters?
- Who answers the survey: analysts who build reports, business users who only view dashboards, or the administrators who buy and run the tool?
- Is the product sold to large enterprises, where buyers and daily users are different people, or adopted self-serve by teams?
- What is the timeline for reaching 75%, and is NPS the real goal or a stand-in for renewals and expansion?
### What a Strong Answer Covers
- How NPS is calculated, and what a move from 25 to 75 requires in the mix of promoters, passives and detractors
- A diagnosis that segments respondents by role, account and tenure, and ties scores to written feedback and product behavior
- A prioritized, sequenced plan aimed at the largest detractor drivers for a BI tool, using both product and non-product levers
- How progress is measured beyond the survey: leading indicators, consistent survey method, and sample size
- Judgment about the target itself, and safeguards against gaming the score
### Follow-up Questions
- After six months NPS has risen to 40, but renewals have not changed. What do you conclude, and what do you do next?
- At your largest customer the administrators are promoters and the analysts are detractors. Whose score matters more, and why?
- A sales lead proposes surveying users only right after they export a report successfully. How do you respond?
Overview: An execution question about a business intelligence product with a low Net Promoter Score of 25% and a target of 75%. It tests understanding of how NPS is calculated, diagnosing detractor drivers through segmentation and feedback, prioritizing and sequencing fixes, and measuring progress realistically.