Let's be honest - most product managers have a love-hate relationship with KPIs. You know you need them, your boss definitely wants them, but figuring out which ones actually matter? That's where things get messy.
I've seen teams track dozens of metrics that sound impressive in quarterly reviews but don't actually help ship better products. The good news is that once you nail down the right KPIs and understand how to use them, they become less of a reporting burden and more like a compass for your product decisions. Let's dig into what actually works.
Key Performance Indicators are basically the scoreboard for your product. But unlike sports, where the rules are clear and the score is obvious, product KPIs can feel arbitrary if you don't understand their purpose.
Here's the thing - KPIs work best when they tell a story about your product's health. They should answer questions like: Are users sticking around? Is the business making money? Are we building the right things? When you align your KPIs with what your business actually cares about, suddenly everyone from engineering to sales starts rowing in the same direction.
The data-driven decision-making part sounds corporate, but it's really just about having evidence for your hunches. Instead of arguing about whether Feature X is worth building, you can point to metrics and say "our activation rate drops 40% at this step, so yeah, we should probably fix that."
What makes product management KPIs particularly useful is their ability to surface problems before they become disasters. That gradual uptick in churn? Your KPIs will catch it before half your user base disappears. The feature everyone loves in demos but no one uses? Your engagement metrics will tell that story loud and clear.
Picking the right KPIs for product management isn't a one-size-fits-all exercise though. A brand new startup obsessing over enterprise metrics is like a teenager worrying about their 401k - technically responsible, but missing the point. You need to match your metrics to your current reality and goals.
Let's cut through the noise and talk about the metrics that actually move the needle. I'm focusing on five that consistently prove their worth across different products and stages:
1. Monthly Recurring Revenue (MRR) - This is your product's heartbeat. MRR tells you if you're building something people will actually pay for month after month. isn't just about celebrating when the number goes up; it's about understanding why it moves. Did that new pricing tier work? Are people upgrading after using that feature you just shipped? The answers are in the data.
2. Customer Lifetime Value (CLTV) - Here's where things get interesting. CLTV forces you to think beyond the initial sale and consider the entire customer journey. When you compare CLTV to , you get a reality check on whether your growth is sustainable. I've seen teams burn through budgets acquiring customers worth $50 while spending $200 to get them. That math doesn't work, no matter how you spin it.
3. Daily and Monthly Active Users (DAU/MAU) - The is like a health check for user engagement. A ratio of 50% means users come back every other day on average - that's sticky. A ratio of 10%? You've got a product people check once in a while, like their electric bill. Neither is inherently bad, but you better know which one you're building.
4. Customer Retention Rate - This might be the most underrated metric on the list. tells you if people actually like using your product once the honeymoon phase ends. Poor retention is like filling a bucket with holes - you can pour in new users all day, but you'll never fill it up. Fix retention first, then worry about growth.
5. Net Promoter Score (NPS) - Yes, NPS has its critics, but it's still one of the simplest ways to gauge customer sentiment. The real value comes from the follow-up: understanding why feel the way they do. Those verbatim responses? That's where the gold is.
Selecting product management KPIs feels overwhelming because there are literally hundreds to choose from. The trick is to start with what you're trying to learn, not what's easy to measure.
Think about your product's current challenge. If you're pre-product-market fit, obsessing over LTV:CAC ratios is premature. You should probably focus on actionable metrics like user activation rate or feature adoption. Are people even using the thing you built? That's question number one.
For more mature products, the focus shifts. You might care more about:
Acquisition metrics: How much does it cost to get a customer? What's your conversion rate through the funnel?
Engagement metrics: Are people coming back? How long do they stick around per session?
Revenue metrics: What's your average revenue per user? How's that trending?
The metrics that matter for a B2B SaaS product selling to enterprises look nothing like those for a consumer mobile app. Context is everything. The product team at Slack tracking daily active users makes sense; a tax software company doing the same would be missing the point entirely.
As your product evolves, so should your product management KPIs. What got you from 0 to 1 won't get you from 1 to 10. Regular KPI audits - say, every quarter - keep you honest about whether you're measuring what matters or just what's comfortable.
Let's talk about actually using these product management KPIs without drowning in spreadsheets. The biggest mistake I see teams make is treating KPIs like a report card instead of a tool.
Start by making your KPIs visible to everyone. Not buried in some quarterly deck, but right there where the team works every day. Dashboards and visualization tools help, but even a simple shared doc updated weekly can work. When everyone sees the numbers, accountability happens naturally.
Here's what actually moves the needle:
Set up experiments tied to KPIs: Launching a feature? Define upfront which metric it should move and by how much
Review metrics in team standups: Not every day, but regular enough that trends don't surprise you
Connect individual work to KPIs: Help that junior engineer understand how their bug fix impacts retention
The teams at Statsig have found that A/B testing everything - even small changes - creates a culture where decisions are backed by data, not just opinions. You don't need a complex setup; start with simple before/after comparisons if that's all you can manage.
Watch out for vanity metrics that make you feel good but don't drive action. Page views, total registered users, number of features shipped - these actionable metrics sound important but rarely tell you what to do next. If a metric doesn't help you make decisions, it's probably not worth tracking.
KPIs aren't magic - they're just tools that help you understand if your product is heading in the right direction. The best product managers I know don't worship their metrics, but they also don't fly blind. They find that sweet spot where data informs decisions without paralyzing them.
If you're just getting started with KPIs, pick three that align with your biggest product challenges right now. Track them consistently for a month. See what stories they tell. Then iterate from there.
Want to dive deeper? The Product Management subreddit has great discussions about metrics in practice, and Martin Fowler's writings on actionable metrics are worth your time. For those ready to level up their experimentation game, tools like Statsig can help you connect the dots between what you ship and how your KPIs respond.
Hope you find this useful!