Startup Cities Need to Measure and Expect Outcomes, Not Activity. Here’s How.

Cities love to count things that are easy to count: events, meetups, demo days. “Startups Launched.” Celebrating press releases. If activity were the same thing as value creation, every city with a monthly pitch night would be a company building machine.

It isn’t.

The discipline gap in startup ecosystem development is measurement, not dashboards full of vanity metrics, but actual startup ecosystem metrics and economic outcomes. If you’re a nerd about venture capital, innovation policy, and long-term regional competitiveness, like I am, you don’t measure things going on, you measure consequences.

The late Clayton Christensen wrote in “The Innovator’s Dilemma” that good management requires metrics aligned with outcomes, not process theater. In startup cities, too many have institutionalized process theater. Now, in fairness, I write a lot about the fact that you’re doing it and it’s not helpful, but I’ve never explicitly advised what to measure.

Startup Development Organizations (i.e. Accelerators) Should Be Judged on Outcomes, Not Butts in Seats

If your accelerator’s annual report highlights “number of cohorts,” “mentor hours,” and “demo day attendance,” it’s telling you it doesn’t know its role.

The job is not networking.
The job is not even launching companies.
The job is not startup meetups.

The job is increasing the probability of venture-scale success.

The National Bureau of Economic Research has shown that high-growth firms disproportionately drive net job creation in the U.S. economy. That is a target. That’s not the only thing to do! But it’s an appreciation of why I focus on “startups” – not small business formation and not lifestyle companies. There is nothing at all inherently wrong with those! They’re just not my specialty, and specialization matters (if you have business consultants driving your startup ecosystem, they’re probably harming more than helping). “Startup Accelerators” are in the business of facilitating the rapid growth and capitalization of startups.

An accelerator that produces 40 LLC filings, but zero Series A rounds has not succeeded; it hosted a workshop. The expectation should be explicit: survival, scale, capital, revenue growth, and regional stickiness. If those aren’t moving, the model is broken.

Cities Must Demand the Same from Themselves

What I want to talk about though is just about accelerators, it is about the ecosystem. Framing this around “Accelerators” helps focus your attention on the distinction between startups, new businesses, and companies, of which you want all! The metrics and expectations of each are not the same and so easily started in a city’s look at startups is asking how the Accelerators are delivering.

City councils, chambers of commerce, economic development offices, and trade associations often report “engagement.” Engagement is not an outcome; it’s actually a cost center in the operational cost of hosting such things.

If public dollars are allocated to accelerators, venture studios, startup grants, or “innovation districts,” then public leadership has a fiduciary responsibility to demand return on investment that isn’t in the form of “we hosted something.”

Most regions ignore this and default to participation metrics because they are politically safer. Activity is politically safer than value: value can fail while activity always looks like you’re trying.

The Startup Ecosystem Metrics That Actually Matter

If you want a city that creates those higher job creation companies, competes for venture capital, retains founders, and compounds wealth, measure these.

Startup formation rate per capita is useful because it normalizes ambition across population size. Raw startup counts flatter large metros, and its flaw reflected in why the venture capital investment data frequently flaunted is essentially useless when it shows Silicon Valley and New York at or near the top (well, duh.). Per capita formation shows whether entrepreneurship is culturally embedded.

Startup survival at 2 and 5 years forces long-term accountability. The U.S. Bureau of Labor Statistics notes that about 50 percent of small businesses survive five years. Startups are riskier; tracking survival clarifies whether support systems increase odds.

Revenue growth of supported companies reveals actual market validation. Revenue is proof that customers, not opinions, believe in the product.

Jobs created by startups, not small businesses broadly, isolates the high-growth impact. Conflating startups with restaurants distorts policy. They are not the same economic instrument.

Follow-on capital raised, especially Series A+, is one of the cleanest indicators of startup ecosystem health because pre-seed is local optimism (too often only tracked); series A is external validation. When outside investors wire capital, they have conducted diligence.

Percent of rounds including local investors matters because ecosystems collapse when local capital does not participate. If every serious round is led entirely from elsewhere, your city is exporting ownership.

Founder retention, three or more years in-region, tests whether you are building stickiness or subsidizing churn. If founders leave after seed funding, your ecosystem is the farm team.

Second-time founders launched locally may be the most underrated metric because a part of how we identify fundable ventures, or simply the founders more likely to be successful, is that they’ve already tried and they’re doing it again. Previously successful entrepreneurs have materially higher success rates in subsequent ventures. Retaining and recycling that talent compounds advantage.

Time from incorporation to first revenue forces programs to focus on commercial traction more than pitch polish.

Time from seed to Series A tests capital efficiency and quality of preparation. If your average is drifting upward, something is misaligned in mentorship, customer access, or product-market fit.

Commercial contracts signed with local anchor institutions connects startups to real procurement pathways. Universities, hospitals, utilities, and Fortune 1000 headquarters are not sponsors, they are customers. If your region cannot convert institutional density into contracts, it is wasting an advantage.

Private capital leveraged per $1 public funding is the most politically defensible metric available because if you’re underwriting your ecosystem but investors aren’t involved, something is off. It translates ecosystem performance into fiscal language legislators understand. If $1 of public capital catalyzes $8 of private investment, you have a multiplier; if it catalyzes $0.70, you’re subsidizing.

Founder Net Promoter Score – ask whether they would build in-region again. This surfaces qualitative ecosystem health. NPS, as it’s also known, is widely used to assess loyalty and advocacy. If founders would not recommend building in your city, you have a structural trust problem. If founders aren’t a fan of a local program, you have something to fix. Important in this one is rigor around statistical significance and reach – too many run these survey questions through a newsletter or through a specific organization, resulting in tremendous bias rather than what the ecosystem actually thinks.

Startup density per 100,000 residents contextualizes ecosystem maturity relative to peers. This gives us more meaningful comparison.

Founder in-migration versus out-migration might be the clearest directional signal. Are ambitious people moving in to build? Are they leaving once they are capable? Greater than that question alone, we know that immigration (yes into the country but we also know that from within a country to your city), is a catalyst of entrepreneurship.

Why These Startup Ecosystem Metrics Work

In metrics (or KPIs – key performance indicators), we need some norms that are consistent. I like pushing for what’s known as SMART metrics (Specific, Measurable, Achievable, Relevant, and Time-bound) but we don’t need as much structure since it’s more important that you simply start measuring outcomes. What we find in these are three consistencies:

1. They measure value creation, not programming volume – revenue, follow-on capital, contracts, and survival represent wealth generation.
2. They are longitudinal – they force multi-year accountability rather than annual press cycles.
3. They align incentives across actors – Accelerators, investors, city officials, and chambers succeed together only when founders succeed.

If you run an accelerator and cannot report survival, revenue growth, follow-on capital, and founder retention, you are not managing an economic development instrument, you are managing an event calendar, and your operational costs are quite possibly actually a net drain on the ecosystem with founders and investors really only funding your revenue stream.

If you run a city’s innovation office and do not publish annual ecosystem outcomes, you are not stewarding capital, you’re marketing.

Founders tend to be rational.
Venture capital is rational capital.
Both move environments to compound advantage.

Are we measuring movement or are we measuring wealth creation? Prove it.

And then publish the answer.

One more thing, because this always gets distorted: none of this means “only count funded companies,” and it absolutely does not mean chase unicorns. Venture capital is a signal, not the goal. A healthy startup ecosystem is one in which founders systematically move from idea to revenue, from revenue to growth, from growth to durable companies, whether or not they ever raise a $100M round. Outcome metrics are about whether your environment increases the probability that ventures work out; they tell you if local programming actually improves survival, accelerates traction, deepens customer adoption, and builds repeat founders who stay. If your founders are consistently building viable, growing companies (funded or not) your ecosystem is functioning AND funding is one of those signals. If they aren’t, no number of pitch competitions or Tech Week hashtags will compensate.