Use this when: you can see the spend on learning, the platforms, the programs, and the AI rollouts. But capability is not moving the way it should. You suspect the dashboards are telling you a story that does not match what is happening in the work, and you need an honest read before you commit to a larger redesign.
The diagnostic does not start with your learning catalogue. It starts with the work itself: how decisions get made, where handoffs go wrong, what people actually do when they get stuck, where AI is quietly being used (and how), and what your culture is rewarding in practice. We come back with what your organisation is teaching versus what your strategy says it values, and what to change first.
The six things every capability investment lives or dies by.
We assess each of these in real artefacts and observed practice, not just in survey results. Each one becomes a clear "this is working" or "this needs to change" finding in your report.
01 · Whether people can speak up safely
Whether your teams can admit mistakes, surface uncertainty, and challenge an assumption without it costing them. Without this, no learning programme works because people will not name what they do not know.
02 · What your culture actually rewards
The gap between what your values slide says and what gets you promoted, recognised, or quietly tolerated. Where speed is beating quality. Where heroics are getting rewarded over collaboration.
03 · How quickly the work teaches
How long it takes to learn from a decision, a mistake, or a handoff. Whether the same problem keeps showing up in different teams because the lesson is not travelling.
04 · What happens when capable people leave
How much expertise walks out the door, and how much stays available to the rest of the team. Whether onboarding teaches the work or just the org chart.
05 · Whether teams share a common language
Whether your people can have productive disagreements about recurring decisions because they have shared reference points, or whether every meeting starts from scratch.
06 · Whether your data can support real decisions
Whether the workforce data your dashboards depend on can actually answer the questions leadership is being asked, or whether it is being used as if it can when it cannot.
Enough evidence to make a real decision, not another survey deck.
- A short, plain-language diagnostic report (typically 12-18 pages) covering each of the six areas with named examples from your real work, not generic findings.
- A clear "this is the most important thing to change first" recommendation, with a sense of what scale of work that change requires.
- A stop list: programs, dashboards, or rituals you should retire, pause, or stop reporting as if they prove capability when they do not.
- A live read-out conversation with your leadership team that holds the discomfort of the findings without retreating to defensiveness.
- A written answer from us on whether a larger build with Midnight Labs makes sense for your situation, or whether a different next step (or no further work with us) is the honest call.
Light on your team, heavy on signal.
Conversations and access
Twelve to fifteen interviews across leadership, managers, and practitioners. Access to the artefacts that actually show how work happens: meeting notes, retrospective documents, project records, onboarding materials, and your existing capability data. We work around your team's calendar, not around ours.
Pattern analysis
We do the synthesis work. We compare what people say, what the artefacts show, and what the data reports. We document where they agree, where they disagree, and what that gap is telling us.
Findings and read-out
Draft report shared in week five, with a working session to test the findings against your knowledge of the organisation. Final report and recommendation in week six, with a live read-out for the leadership group who will need to act on it.