PMI-ACP Practice Questions #116
You are the Product Owner of a mental wellness app designed to help users with mindfulness, meditation, and stress management. After launching the MVP version, your goal is to analyze key performance indicators to refine backlog priorities and enhance the user experience.
To ensure early insights into product success, you need to focus on leading indicators—metrics that predict future trends rather than just measuring past outcomes.
A. Feature adoption rate & session duration
B. NPS score & subscription renewal rate
C. Onboarding completion rate & customer satisfaction score
D. Session duration & revenue growth
Analysis
This question tests the understanding of leading indicators—metrics that provide early insights into product success rather than simply measuring past performance. The goal is to refine backlog priorities and enhance the user experience based on these early indicators.
Leading indicators predict future trends, while lagging indicators reflect outcomes that have already occurred. Metrics related to user engagement, feature adoption, and early interactions are considered leading indicators because they indicate potential future trends in customer satisfaction and business success.
Analysis of Options
A: Feature adoption rate & session duration
This is the correct choice because feature adoption rate shows how quickly and widely users are adopting new functionalities, indicating early engagement. Session duration reflects how long users stay engaged with the app, providing insight into whether they find it useful. These are both leading indicators, as they help predict whether the app will be successful before customer satisfaction or revenue growth is measured.
B: NPS score & subscription renewal rate
These are lagging indicators. Net Promoter Score (NPS) is measured after users have already formed an opinion about the product. Subscription renewal rate also depends on past user satisfaction and does not give early insights into product success. These metrics are valuable for long-term analysis but do not serve as early indicators.
C: Onboarding completion rate & customer satisfaction score
While onboarding completion rate might provide some early insight, customer satisfaction score is a lagging indicator—it is collected after users have already formed an opinion about their experience. Since the question focuses on leading indicators, this option is not the best choice.
D: Session duration & revenue growth
Session duration is a useful leading indicator, as it provides early feedback on user engagement. However, revenue growth is a lagging indicator, as it depends on previous customer decisions and cannot predict future trends. Since one of the metrics is lagging, this option is not ideal.
Conclusion
The best answer is Option A (Feature adoption rate & session duration) because both metrics provide early insights into user engagement and product success. The other options include at least one lagging indicator, making them less effective in predicting future trends.
PMI – ACP Exam Content Outline Mapping
| Domain | Task |
| Delivery | Manage Agile Metrics |
Topics Covered:
- Understanding and applying leading vs. lagging indicators
- Using feature adoption and session duration as early predictors of user engagement
- Refining backlog priorities based on predictive user behavior metrics
- Enhancing user experience through data-driven decisions
- Aligning MVP performance metrics with Agile product delivery goals
- Interpreting product success trends using leading indicators in Agile environments
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