KPI
26 bites tagged KPI — interview questions with model answers, and 60-second explainers.
Defining and instrumenting UX KPIs for a feature
Tie KPIs to user goals via a framework like HEART, define events before building, validate tracking pre-launch. Translating UX goals into trackable KPIs.
KPIs for a new registration form and technical instrumentation
Tests pairing outcomes with instrumentation. Pick a conversion KPI and a field-level friction KPI, then explain client-side events correlated with server logs while scrubbing PII. Red flag: relying solely on frontend analytics or vanity metrics.
Why is velocity as a primary KPI destructive, and what's better?
This tests if you see velocity as a planning gauge, not a performance metric. A strong answer notes points are subjective, cites Goldratt on gaming, and proposes team-driven improvement instead. A red flag is claiming velocity works if averaged over time.
Why is team velocity a poor KPI for agile success?
Tests your grasp of agile principles and Goodhart's Law. Explain velocity is for forecasting, not performance. Detail dysfunctions like point inflation and ignoring quality. Propose outcome-focused alternatives like cycle time.
What's the difference between a metric and a KPI?
This tests your ability to connect technical measurements to strategic business outcomes. A great answer defines both, notes KPIs are a subset of metrics tied to goals, and gives a concrete example like page views (metric) vs. conversion rate (KPI).
Bullet Graphs: Packing Context into a Single Bar
A bullet graph packs rich context into one bar, showing a metric against its target and qualitative ranges. Use it on dashboards for single KPIs like sales-to-quota or latency vs. SLA. The footgun is clutter, which defeats its at-a-glance purpose.
GSM: Connect Your Goals to Real Metrics
The GSM framework turns fuzzy goals into concrete numbers by linking what you want (Goal), to observable behaviors (Signal), to a specific measurement (Metric). It's used to define KPIs for new features. The footgun is choosing easy-to-measure vanity metrics.
Why is tracking team velocity as a KPI dysfunctional?
Tests if you know velocity is for planning, not performance. Explain it's easily gamed and measures output, not outcome. Propose metrics focused on value delivery and process improvement like cycle time.
Evidence-Based Management (EBM): Measure Value, Not Just Velocity
Evidence-Based Management (EBM) is like a fitness tracker for your organization, using data to guide decisions instead of gut feel. It helps you measure progress toward goals and improve outcomes.
Goal-Question-Metric: Measure What Matters, Not What's Easy
GQM is a top-down framework for defining metrics. You start with a Goal, ask Questions to clarify it, then define Metrics to answer them. This avoids the common trap of collecting vanity metrics that don't reflect true software quality or business goals.
Vanity vs. Actionable Metrics: Measure What Matters
Actionable metrics explain *why* and guide your next move, while vanity metrics just look good on a chart. Use actionable metrics for setting KPIs to understand user behavior and business health.
The K-Factor: Measuring Your Product's Viral Growth
The Viral Coefficient (K-factor) measures how many new users each existing user generates. It's key for products with referrals or sharing. The common mistake is chasing K > 1; even K=0.5 is valuable, as it effectively halves your acquisition cost.
Metrics Layer: The Dictionary for Your Data
A metrics layer is the central dictionary for your company's numbers, defining what "Revenue" or "Active User" means once for everyone. It ensures teams and AI agents get consistent answers from a single source of truth, preventing conflicting reports.
Average Revenue Per User (ARPU)
ARPU is the average revenue each user generates, a pulse check for a subscription business's health. It's used by media and SaaS companies to track if users are becoming more valuable, but it can be skewed by a few high-paying "whales."
Leading vs. Lagging Indicators: Predict the Future or Report the Past?
Leading indicators are predictive inputs (like sales calls made) that forecast future results. Lagging indicators are outputs (like quarterly revenue) that report what already happened.
North Star Metric: Aligning Your Team With One Metric
A North Star Metric (NSM) is the single number that best captures the core value your product delivers, acting as a compass for your team. It aligns everyone on a shared goal, like Spotify using 'Time Spent Listening.' The biggest footgun is not having one.
Goal Tracking: From User Clicks to Business Conversions
Goal tracking translates user actions into business metrics. Analytics platforms use automatically collected events (like `ad_click`) as building blocks to track these goals. The footgun is confusing any interaction with a valuable, defined conversion.
Cloud Unit Economics: Tying Spend to Value
Instead of just a total cloud bill, unit economics calculates cost per meaningful unit, like 'cost per customer.' This helps justify rising costs with business growth and lets product owners make data-driven pricing tradeoffs.
Vanity vs. Actionable Metrics: Measure What Matters
Actionable metrics are levers that change business outcomes; vanity metrics are scoreboard numbers that feel good but don't inform decisions. Use this distinction when setting KPIs to avoid the footgun of celebrating 'total downloads' over actual retained…
User Engagement Score: A Health Check for Your Product
A User Engagement Score distills complex user behavior into a single number, showing if users find value or are at risk of churning. Product teams use it to gauge feature adoption, while success teams identify at-risk accounts.
Feature Adoption Rate: Measuring if New Features Deliver Value
Feature adoption rate measures if users actually use specific features, not just log in. It's vital for SaaS products to prove ongoing value for renewals. The footgun: a low rate means customers pay for unused bloat, which actively hurts perceived value and…
Net Promoter Score (NPS): A Snapshot of Customer Loyalty
NPS distills customer loyalty into one number by asking, "How likely are you to recommend us?" It's a quick pulse check for product teams. The footgun is treating the score as a diagnosis; it tells you *what* customers feel, but not *why*.
Benchmarking: Know Where You Stand in Your Industry
Benchmarking answers "Are we good?" by comparing your performance metrics against industry bests. It's used to set realistic goals for cost, quality, or time. The main footgun is comparing apples to oranges—using benchmarks from dissimilar companies.
Balanced Scorecard: Beyond Financial Metrics
A Balanced Scorecard connects daily actions to long-term strategy by measuring more than just financial results. It's used to align department goals with company objectives, ensuring work supports customer satisfaction.
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