Metrics That Matter: Applying Intentional Measurement Across the Product Lifecycle

Author: Rachel Goulding

Earlier this month, I had the pleasure of joining a panel in Manchester to discuss something deceptively simple yet profoundly impactful: Metrics That Matter. The energy in the room made it clear — product leaders everywhere are wrestling with the same challenge: How do we know we’re building the right thing, delivering value, and making the right trade-offs along the way?

Here’s a synthesis of what I shared, what I learned, and how we can all apply intentional measurement across the product lifecycle, from strategy to iteration to impact.

Metrics With Intention: Why It Matters

Growth led teams don’t just ship features. they ship outcomes. The real differentiator? Intentionality. Avoiding “vanity metrics” or “activity theatre.” What we really want are metrics that:

  • Align to strategic business goals
  • Support product discovery, delivery, and iteration
  • Drive meaningful conversations across disciplines

 

Too often, measurement is an afterthought. The teams that win are those that measure before they build and revisit those metrics after launch, not just during it.

 

Objectives and Key Results + North Star Metrics: Creating Strategic Anchors

 

One of the most powerful enablers of effective product work is clarity from the top. When business leaders take the time to articulate what truly matters right now — the outcomes that will move the business forward — it gives product teams the direction they need to deliver with purpose.

That’s where a strong Objective and Key Results (OKRs) framework earns its place. When done well, OKRs don’t just cascade top-down; they create a shared contract between leadership and teams. Clear, focused Objectives from business owners allow empowered teams to define Key Results and product metrics that directly support those outcomes.

To bring those goals to life at the product level, teams can define a North Star Metric (NSM) — a leading indicator that captures the core value the product is responsible for delivering. Supporting KPIs (like usage, conversion, or deflection rates) then give teams actionable levers to influence that NSM.

 

Example: An Organic Farmer’s Digital Ambition

Business Objective:
Increase revenue by expanding direct-to-consumer sales of veg boxes.

Key Result:
Sell 25% more veg boxes via online orders over the next 3 months.

To translate this into product strategy, the team defines a North Star Metric (NSM) — a metric that reflects the core value the product delivers to both the user and the business.

North Star Metric:
Number of completed veg box orders placed through the website.

Why this NSM? Because it captures exactly what the product is meant to achieve: converting visitors into paying customers who receive fresh produce at their doorstep.

From there, the product team can identify supporting KPIs to drive that North Star:

  • Landing page conversion rate (visitors → checkout starts)
  • Checkout completion rate (starts → successful payment)
  • Average order size/value
  • Repeat purchase rate

 

Each of these can be improved through specific product work — like simplifying the checkout experience, improving delivery slot visibility, or making it easier to customise your box.

Crucially, these metrics aren’t just “interesting” — they’re strategically relevant. They provide leading indicators that the team can act on week by week, while the NSM shows whether the work is genuinely moving the needle on the Key Result.

When this alignment exists — from business goals to product metrics — teams don’t just feel empowered, they feel connected. And that’s when Product becomes a true growth lever, not just a delivery function.

In this structure, the NSM connects product activity to business value, while supporting metrics provide early signals and insight. The result is a cascade — from business goal to product strategy to team-level execution — that creates alignment, focus, and confidence.

 

Lifecycle Metrics: Apply the Right Metric at the Right Time

 

Product work evolves, so should your metrics. Here’s a framework to match measurement to lifecycle stage. You may not agree with the metric tools suggested here but I recommend having a framework and including the tools you want your teams to apply or experiment with. You can evolve your framework over time but it’s certainly better to have one and improve it, than to keep working without one!

This allows your team to create a data led mindset and will allow you to pivot the work and ideas without losing sight of the OKRs.

 

Stage Metric Tool Why it Matters
Discovery Benefit Canvas Align on value early: Who’s it for? What’s the impact?
Prioritisation RICE Scoring Objective trade-offs based on reach and impact. Try to define Standard scoring units that are appropriate for our business i.e. what is ‘reach’ in the context of your business? What does ‘impact’ mean in the context of your quarterly Key Result or NSM?
Prototyping HEART Framework User response before code is written. However you choose to do it. Learning before building drastically reduces the cost of failure.
Go-to-Market AARRR (Pirate Metrics) Funnel clarity: Are we ready to scale?
Delivery DORA Metrics High-velocity, high-trust engineering – How can you bake in team performance alongside product performance?
Launch & Learn A/B Testing Prove what works with statistical rigour
Post-Launch Growth Product Health Scorecards Guide investment: Conversion, retention, NPS, engagement – what is most relevant here in the context of your business?

 

Real Impact: One Metric That Changed the Game

 

One thing the panel unanimously agreed on was this: when it comes to measurement, start with one. Just one.

It sounds simple, even obvious but in practice, many teams skip this step entirely or get lost in a sea of competing dashboards, KPIs, and frameworks. The result? Confusion, over-analysis, or worse — progress without purpose.

So the advice to “start with one” is good. But it leads to a tougher question: How do you know which one?

That brings us back to something I’ve found consistently useful throughout my product career: the North Star Metric (NSM) the one metric that reflects the core value your product delivers to customers and the business.

In any product environment, you can measure countless things — but the most effective teams focus on the one metric that truly matters.

This single, high-leverage metric captures the core value your product delivers to customers and ties it directly to business outcomes. It becomes a compass for product decisions, trade-offs, and progress.

Let’s bring this to life with our Organic Farm scenario

 

Example: The Organic Farm

 

Imagine the organic farm that wants to grow its direct-to-consumer business by increasing online veg box sales.

They started with a clear OKR:

business objective: Increase revenue by expanding direct-to-consumer sales.

Key Result: Sell 25% more veg boxes via online orders over the next 3 months.

 

To translate this into product focus, the team defines a North Star Metric — one that reflects customer value delivered and business value captured:

NSM: Number of completed online veg box orders

This single metric is gold. It tells you a customer has found the product, seen the value, completed a purchase, and committed to receive a box of fresh produce at home.

Supporting Metrics That Influence It:

With the NSM defined, the team can identify actionable metrics to steer progress:

  • Conversion rate from homepage to product page
  • Cart abandonment rate
  • Mobile experience vs desktop
  • Delivery slot availability
  • Repeat order rate

 

These don’t compete for attention — they support the North Star. If the NSM is the destination, these are your signposts and speedometers along the way.

How to Identify Your NSM:

Ask two simple questions:

  1. What value does our product deliver to customers?
  2. What measurable behaviour signals that value is being delivered?

If you can answer both, you’re on your way to a strong, actionable NSM.

A good North Star Metric is not:

  • A vanity metric (like total page views or social likes)
  • A raw financial target (like revenue, which is often a lagging result, not a signal of customer success)
  • A short-term spike (such as signups on launch day)

Instead, it’s a customer-driven behaviour that signals sustainable value creation.

Why It Works:

Focusing on one high-impact metric gives teams:

  • Clarity on what success looks like
  • Focus across design, delivery, and data teams
  • Confidence to make trade-offs without losing alignment
  • Momentum — because progress is trackable and real

Done right, your North Star Metric becomes more than a dashboard number, it becomes your team’s shared purpose in action.

 

ROI Without the Guesswork

If you’ve ever been a product manager, you’ll know this feeling well… your inbox is full of feature requests. Stakeholders have ideas. Customers have pain points. Sales, ops, marketing — everyone has something they need built now.

In this sea of competing demands, one of the hardest but most important things a product manager must do is articulate the value behind an idea. Not just to justify decisions, but to create shared clarity — so the whole team can prioritise transparently and deliver work that matters.

That’s where the Benefit Canvas comes in.

It’s a simple but powerful tool that forces you to pause before jumping into delivery and ask:

  1. What is it?
  2. Who is it for?
  3. What’s the measurable value?
  4. How will we measure it?
  5. Is it about revenue, cost, or risk?

 

This structure helps shift the conversation from “what do we want to build?” to “what value are we trying to unlock — and how will we know if we did?”

Let’s bring this to life with our ongoing organic farm example.

 

Example: The Organic Farm

Context: User research shows that returning customers often abandon their baskets when reordering, due to the friction of finding and rebuilding their previous veg box.

A proposed solution: Add a “Reorder My Last Box” button on the homepage for logged-in users.

Impact Estimate

Here’s how the team might size the opportunity using some light, hypothetical data:

Metric Value
Weekly website visitors 5,000
% of visitors who are returning users 20% (i.e. 1,000 users)
Basket abandonment rate (returning users) 30% (i.e. 300 users not completing)
Estimated uptake of “Reorder” button 50% of those 300 = 150 extra orders/week
Average order value £25
Estimated weekly revenue gain 150 x £25 = £3,750
Quarterly revenue impact ~£45,000 (assuming steady weekly gain)

Now, let’s bring this into the Benefit Canvas format:

 

Benefit Canvas Element Example (One-Click Reorder Button)
What is it? A homepage button that lets returning customers reorder their previous box in one click.
Who is it for? Returning customers who want a quicker and simpler reorder experience.
What’s the measurable value? ~£45,000 basket revenue (assuming steady weekly gain) – show calculation from above.
How will we measure it? – Weekly click-throughs on the button- Uplift in completed orders from returning users- Decrease in abandonment rate
Is it about revenue, cost, or risk? Revenue — additional ~£3.7K/week from increased conversions.

Why This Matters

This isn’t about precision forecasting. It’s about directional confidence — using what you already know to validate whether an idea is worth building now, later, or not at all.

With a canvas like this, you can:

  • Frame feature conversations around impact, not just functionality
  • Compare ideas objectively during prioritisation
  • Build shared accountability across teams for delivering measurable results

 

Leading vs Lagging Indicators: You Need Both to Navigate

 

One of the recurring themes in our panel discussion was the value of leading indicators. Most of us agreed — they’re practical, visible, and, critically, they’re within the product team’s sphere of influence.

Leading indicators are things like:

  • App usage
  • Basket conversion
  • Booking flow completion
  • Feature adoption
  • Time to complete a task

 

They give us early signals. We can measure them in near real time. We can tweak flows, release experiments, fix bugs — and see the direct impact within days or weeks. It’s no surprise that product teams love them. They help us feel in control.

But here’s where I take a slightly more cautious — and I’d argue, responsible — view.

If teams focus solely on leading indicators, they risk becoming disconnected from the actual business outcomes. And that’s dangerous.

Because if we’re not confident that our work is ultimately improving the things that matter — cost-to-serve, revenue, retention, operational efficiency — then we risk becoming busy, but not valuable. And if you’re not adding value, you’re at risk of becoming a liability.

This is where lagging indicators come in:

OKRs

  • Revenue growth
  • Cost reduction
  • Net promoter score (NPS)
  • Customer lifetime value

 

Lagging indicators are slower. Harder to move. Often influenced by multiple variables outside the product team’s control. But they’re what the business cares about — and rightly so.

So when people ask, “Do you prefer leading or lagging indicators?” — my answer remains: Yes. You need both.

  • Lagging indicators show you where you’re headed — they’re the destination.
  • Leading indicators tell you whether the wheels are turning — they’re your dashboard.

 

One without the other is incomplete. You wouldn’t drive across the country staring only at your speedometer. But you also wouldn’t get far staring only at the map.

The real power comes from connecting the two — building a line of sight from your sprint-level metrics to your company’s strategic goals. That’s where confidence grows. That’s where product becomes a trusted driver of value, not just a feature factory.

 

Alignment is a Team Sport

Product doesn’t own value in a vacuum. To have confidence in your OKRs, NSM and Product Opportunities:

Champion transparency and honesty. Make assumptions visible and ask for help or clarity from those around you who maybe closer to commercial values or marketing opportunities. Share the product metrics and behaviours – start conversations.

As mentioned above we are not looking for perfect forecasts or accurate numbers, we are seeking directional confidence and alignment between product goals and business outcomes. 

When stakeholders help define what matters — and why — it creates shared ownership and better outcomes.

 

Final Thoughts: Build With Intention

Measurement isn’t about spreadsheets or dashboards. It’s about clarity.

  • Clarity in what we build.
  • Clarity in why it matters.
  • Clarity in how we define success AND failure.

I’ve seen how the right metrics can unlock trust, momentum, and business impact. But only if we use them with intention.

If you’re a product leader trying to drive real outcomes — start with the metrics that matter.

 

 


References and Further Reading