KPIs are not just numbers — they are the navigational instruments guiding your product’s journey.
Product success is not a feeling. It is a measurable reality. The actual job is to pick the right parameters that tell you whether your product is thriving, surviving, or failing in the market.
Most PMs confuse noise with signal — they look at every metric under the sun and end up overwhelmed. The trap is treating vanity metrics as performance indicators. The truth is simpler: focus on the metrics that directly reflect value creation for your users and business.
This lesson teaches you how to think about product performance from a PM’s perspective, grounded in Indian startup and enterprise examples.
The four pillars of market performance
When a recruiter asks, “How do you measure product performance?”, they want to know about your thinking process and your understanding of what really drives success.
From my experience training thousands of PMs, the best way to organize this answer is into four pillars:
- Product usage — Are users adopting and engaging with the product?
- Product quality — Does the product meet expectations and delight users?
- Product development — Is the team delivering features on time and efficiently?
- Business performance — Is the product meeting revenue, profit, and customer satisfaction goals?
Each pillar corresponds to a different stakeholder’s perspective, but a great PM balances all four.
Product usage: the pulse of adoption
The most direct indicator of market fit is usage. How many users do you have? How often do they come back? How deeply do they engage?
Monthly active users (MAU) is a classic metric. But good PMs drill down beyond that:
- Which features do users actually use?
- What is the frequency and duration of sessions?
- Are users moving through the intended workflows?
For example, Swiggy tracks delivery app usage by time of day, frequency per user, and repeat order rate. This tells them not just how many people use the app, but how habit-forming it is.
Product quality: the foundation for retention
Usage without quality is a house of cards. If the product is buggy, slow, or confusing, users will churn.
Measure quality by:
- Escalations and negative feedback volume
- Number and severity of bugs found in testing and production
- Customer support tickets and complaint resolution times
In Indian fintech startups, product quality is often measured by transaction failure rates and downtime. Razorpay, for example, closely monitors payment success rates to maintain trust.
Product development: delivery that sustains momentum
Great products don’t happen by accident. Delivery discipline matters:
- Are features shipped on schedule?
- Are resources allocated efficiently?
- What is the estimated time to complete upcoming development?
A PM must track these to identify bottlenecks and manage stakeholder expectations. Delays in development often cascade into lost market opportunities.
Business performance: the ultimate success metric
All the above matter only if the product moves the business needle:
- Revenue growth and bookings
- Profit margins and unit economics
- Customer experience scores (like NPS)
In India’s SaaS ecosystem, companies like Freshworks track bookings and renewal rates as primary success indicators. For consumer apps, revenue per user and customer acquisition cost are critical.
The PM’s approach to metrics: research and prioritization
There is no secret formula for the “perfect KPI set.” The PM’s job is to ask two questions:
- What are the top three things that really matter to my customers?
- What are the top three things that really matter to my business?
This dual lens keeps you focused on value and viability.
This conversation is typical in companies like PhonePe and Paytm, where product, data, and support teams collaborate to spot problems early.
Avoid vanity metrics that mislead
A common pitfall is focusing on metrics that look good but don’t correlate with value.
For example, app downloads are easy to measure but meaningless if users uninstall quickly or never open the app again. Similarly, page views matter less than conversions or task completion.
Talvinder often says, “Choosing irrelevant KPIs can mislead and derail your product strategy. It’s like using the wrong map when navigating.”
In India, where user behavior is diverse and price sensitivity high, vanity metrics can be especially dangerous. A product with millions of downloads but low engagement is burning resources without impact.
Indian context: data-driven decisions with local nuances
Indian startups face unique challenges when measuring product performance:
- Diverse user base: Different languages, devices, and digital literacy levels affect usage patterns.
- Data quality issues: Messy data from heterogeneous sources requires careful cleaning and interpretation.
- Cost sensitivity: Metrics must justify ROI at Indian price points.
Flipkart, for instance, uses advanced analytics to optimize regional language support and app performance on low-end smartphones — key drivers of conversion.
How to communicate product performance effectively
As a PM, tracking metrics is only half the job. You must communicate them clearly to stakeholders:
- Use dashboards that highlight trends and anomalies
- Tell stories with data — what does this metric mean for the user and the business?
- Surface trade-offs — faster delivery vs quality, acquisition vs retention
Here is a typical communication challenge:
Weekly product review meeting at a Series B SaaS startup in Bangalore
CEO: “Our MAU is up 20%, but revenue growth is flat. What’s going on?”
You (PM): “The increase is mainly from free-tier users. Paid conversion is steady but not growing.”
CFO: “What about churn?”
You (PM): “Churn increased by 5% last quarter. We believe onboarding UX issues are causing this.”
Product Designer: “We can prioritize onboarding fixes in the next sprint.”
You (PM): “That will improve retention, which should drive revenue growth next quarter.”
CEO: “Good. Let’s track progress weekly.”
Balancing growth in user numbers with revenue and retention
This kind of nuanced conversation is what separates PMs who own outcomes from those who just report numbers.
Field exercise: Define your product’s key metrics
Pick a product you know well — your current product, a startup you admire, or a consumer app you use daily.
- List the key user problems it solves.
- Write down 3 metrics that reflect usage (e.g., MAU, feature adoption).
- Write down 2 metrics that reflect quality (e.g., bug rate, customer complaints).
- Write down 2 metrics that reflect development delivery (e.g., sprint velocity, on-time delivery).
- Write down 3 business metrics (e.g., revenue growth, NPS, profit margin).
- For each metric, write a sentence explaining why it matters.
Try to ground your choices in the actual value the product creates and the business goals it supports.
Test yourself: Prioritizing product metrics at a Series A Indian startup
You are the PM at a Series A SaaS startup in Hyderabad serving 200 B2B customers. The CEO asks you to report on product performance next week. You have data on user activity, bug reports, sprint completion, revenue, and NPS. However, the data quality is patchy and some metrics contradict each other.
The call: Which 5 metrics do you prioritize to present, and how do you explain your choice to the CEO?
Your reasoning:
You are the PM at a Series A SaaS startup in Hyderabad serving 200 B2B customers. The CEO asks you to report on product performance next week. You have data on user activity, bug reports, sprint completion, revenue, and NPS. However, the data quality is patchy and some metrics contradict each other.
Your task: Which 5 metrics do you prioritize to present, and how do you explain your choice to the CEO?
your reasoning:
Alumni callout
Where to go next
- If you want to learn how to turn data into decisions: Data-Driven Decision Making
- If you want to master user research and metrics alignment: User Research Methods
- If you want to understand prioritization frameworks: Prioritization: The Art of Saying No
- If you want to explore product quality management: Quality and Reliability in Product Management