Engineering Analytics Under 50 Engineers: What You Need and What You Don't

The engineering analytics market is built for organisations of 200 and up. That's where portfolio reporting, investment allocation and cross-team comparison become real problems worth paying to solve.

Below 50 engineers, most of what you'd buy is answering questions you don't have. Here's the honest version of what's worth having.

What problems do you actually have at this size?

Usually two, and neither needs a platform to identify.

Where does work get stuck. With three to five teams, you can often answer this by asking. What you can't do by asking is tell whether it's getting better, which is where measurement earns its place.

Why estimates are wrong. The gap between commit-to-production time and idea-to-production time is typically where the answer sits, and DORA-style metrics capture only the first half.

What you almost certainly don't have: a board reading engineering metrics, a CFO requiring investment allocation reporting, or enough teams for cross-team comparison to be statistically meaningful. Those are the capabilities carrying most of the price in this category.

The honest recommendation

Start with nothing bought.

Deployment frequency and lead time are derivable from your CI system and git history. Compute them by hand for one team over the last quarter. An afternoon.

This routinely produces the answer without any purchase, and when it doesn't, it tells you exactly what you need — which is a far better basis for buying than a demo.

If you then want tooling, in order of sensibility:

Apache DevLake if you have anyone who can own infrastructure. Free, self-hosted, ingests from GitHub, GitLab, Jira, Jenkins and dozens more, ships pre-built DORA dashboards via Grafana. The cost is deployment via Docker or Helm plus ongoing maintenance — roughly half a day a month once running, weeks to stand up. Free is not cheap if nobody owns it.

A published-price vendor if you don't. Koalr at $39 per seat monthly covers DORA, PR cycle time and review analytics; GitKraken Insights sits lower at $9–19 per contributor. The advantage at this size isn't just the rate — it's evaluating without a sales cycle. You can test three tools in the time an enterprise process takes to produce one quote.

What you already pay for. GitLab has a Value Streams Dashboard. Datadog has a DORA Metrics module. GitHub Insights covers part of lead time. Teams at this size routinely stand up a parallel stack for metrics they were already entitled to.

What to skip

Investment allocation reporting. It requires disciplined issue tracker categorisation to mean anything, and at this size you likely know where the time went without a tool.

Enterprise platforms. Buyer data puts Jellyfish's median annual contract at $35,920, with 50–150 seat deals commonly $50,000–120,000. At 40 engineers that's a meaningful fraction of a headcount, spent on portfolio features you don't have a portfolio for.

Individual-level anything. True at every size, more damaging at this one — in a 40-person organisation everyone notices immediately, and the trust cost is not recoverable.

A survey platform, initially. At this size you can ask people. A structured survey becomes worth its overhead when you can no longer talk to everyone, which is usually north of 50.

The one thing worth more than tooling

Write down what you'll do differently based on the numbers, before you collect them.

Small organisations have the advantage of a short distance between measurement and action. There's no reporting chain to traverse and no committee. That advantage is squandered by teams that install a dashboard and treat it as a status display.

If you can't name the decision, don't measure yet. Measurement without a decision attached is the most common way a small team ends up with a tool nobody opens by month three.

When to revisit

Three signals that you've outgrown this advice:

You can no longer answer "where is work stuck" by asking. Usually somewhere between 50 and 80 engineers.

Someone outside engineering starts asking where the time goes. That's the investment allocation question, and it's the point where a reporting layer starts earning its cost.

You have enough teams that comparison is meaningful. Four teams isn't a distribution. Ten starts to be.

Frequently asked

Is DORA useful at this size? Yes, as a diagnostic. Deployment frequency and lead time will tell you things worth knowing. Benchmarking against industry figures is less useful — your own trend matters more than someone else's median.

What about change failure rate? It needs incident data with real timestamps, which means an incident tool. If you don't have one, be honest that you're estimating rather than measuring.

Should we hire someone to own this? No. At this size it's a part of an existing role — usually whoever already cares about it. A dedicated hire for developer productivity makes sense a good deal later than most people expect.

Is it worth buying anything at all? Often not for a year or two. The teams that get the most from tooling at this size are those that ran without it first and know exactly what gap they're filling.