How Do You Choose Innovation Metrics That Don’t Suck: What We Actually Track

How Do You Choose Innovation Metrics That Don’t Suck: What We Actually Track

Missed last week's edition of Beyond the Core? Read it here.  

Most corporate innovation metrics fall into three traps:  

  1. They’re too vague.
  2. They’re too activity-based.
  3. Or they’re focused on outcomes the team doesn’t control.

The key is to build innovation systems that are tied to strategy and grounded in reality. That means tracking what matters based on where a venture is in its journey and what kind of system it’s in.  

We don’t believe in one-size-fits-all dashboards. We do believe in better ways to measure progress.  

Good metrics:  

  • Make trade-offs visible.
  • Help you decide what to do next.
  • Earn innovators the right to keep going (or to stop early, with confidence).

If a metric isn’t helping you do one of those, it’s probably noise.  

First: Match Metrics to the Goal  

Before picking a metric, ask: What is your innovation system actually designed to deliver?

Article content

Misalignment here is where most measurement systems break down.  

Don’t track culture change with startup metrics.  

Don’t evaluate disruptive bets using core business KPIs.  

Instead, define a small set of goals per horizon and per venture stage, and then choose metrics that answer: Are we learning what we need to learn to justify the next level of investment?

The Venture-Stage Framework  

(From Lean Analytics, adapted for corporate innovation)  

To track venture progress, we use a five-stage model from Lean Analytics, co-authored by our Founding Partner, Ben Yoskovitz. We’ve adapted it to help teams focus on the right signals at the right time and avoid scaling too early.  

1. Empathy  

Have we identified a real, urgent, poorly met need?

  • # of users interviewed
  • Repetition of key problems
  • Clear articulation of user + functional + deeper need

If you’re in Empathy and your metric is revenue, you’re skipping the part where you find out if anyone truly cares.  

2. Stickiness  

Do users want this enough to keep using it?

  • Prototype engagement
  • Waitlist signups or fake-door test conversion
  • Signals of retention or repeat use

Here, conversion alone isn’t enough. You need to prove people will come back, finish the job, and complain if you take the solution away.  

3. Virality / Growth  

Are users spreading it organically?

  • Referrals
  • Advocacy and testimonials
  • Word-of-mouth behaviour

Virality at this stage isn’t “we went viral on social once.” It’s repeatable behaviour where your users start to do part of the distribution work for you. You need to prove you can acquire customers in a (at least somewhat) repeatable way.  

4. Revenue  

Can this business make money?

  • Pre-sales, LOIs, or real revenue
  • Validated pricing model
  • Promising unit economics

The goal is not “perfect” economics on Day 1, but proof that the business can work and that you know where the levers are.  

5. Scale  

Can this become meaningful over time?

  • Repeatable acquisition channel
  • Operational readiness
  • Roadmap to 10x growth

At Scale, you start to care about portfolio-level questions: contribution to growth, cannibalization, and how this changes the shape of the business over 3–5 years.  

Each stage comes with its own evidence.  

That’s what drives smart decisions not checklists.  

The most important question becomes: Have we earned the right to move to the next stage?

What We Avoid  

We’ve seen what doesn’t work, and we stay away from it:  

  • Counting outputs (like “# of ideas generated”) as success
  • Using one scorecard for every stage
  • Forcing teams to complete bloated checklists

Holding early-stage bets to late-stage ROI timelines  

If a metric can be gamed without creating value, someone will eventually game it. Design metrics that are hard to hit without actually making progress.  

To summarize: Good metrics create clarity.They support decision-making, not just reporting. They help teams move, learn, and earn the right to keep going.  

The real test of your innovation metrics is simple:  

  • Do teams change their behaviour because of them?
  • Do leaders make different, better investment decisions because of them?

If not, the metrics might look impressive on a slide but they probably suck.  

Thanks for reaching out. Be sure to check us out on LinkedIn for all of our current news and announcements.
Oops! Something went wrong while submitting the form.