When should a People leader run a full diagnostic?

Three moments. New into the role, new exec team, or before any AI investment over six figures. Also worth re-running after a reorg or a funding round, because both change headcount and priorities before anyone gets round to updating the roadmap.

What is the underperformance early warning?

It runs off data you already have: 1-1 calendar entries, ticket timestamps, Slack response times. No new tooling, no dashboard build. Same five signals, same order, every Friday, so you can compare this week against last week rather than judging each signal in isolation.

What does People-as-a-product mean in practice?

It means every offering carries a retire date. Skip that and the catalogue only ever grows: half the reason a six-person People team is drowning is that some of what they ship should have been sunset two reorgs ago.

How does the 90-day roadmap connect to the other diagnostics?

It runs alongside the early warning, not instead of it. The roadmap sets the nine priorities; the weekly signals tell you in week three if priority four needs to jump the queue. Skip that link and you end up defending a 90-day plan that stopped matching reality around day 40.

Where does AI fit in the diagnostic toolkit?

Two artefacts, not one score. The heatmap ranks automation candidates from work you already run. The readiness read scores whether the team, the data, and the governance can actually support it. A hot cell on the heatmap next to a weak readiness score is a build to postpone, not one to cancel.

The People Ops diagnostic toolkit

Most People leaders inherit a function shaped by whoever ran it last, sized for a company that no longer exists, and measured by metrics nobody asked for. The first job is not to fix it. The first job is to read it. This toolkit is the read.

Why a toolkit, not a single audit

A single audit produces a single answer, usually the answer the auditor already had in mind before they walked in. A toolkit forces you to look at the function from five angles and reconcile what you see. The reconciliation is the value.

The five diagnostics are deliberately different in shape. Two are signal-based and run continuously. Two are structural and run quarterly. One is sequencing. They do not overlap by accident.

1. The underperformance early warning

A weekly five-minute read of five signals across the function. Cheap, fast, and the only diagnostic on this list that runs every week.

Missed 1-1s. Cancellations without reschedule inside seven days.
Slipping commitments. Tickets, hires, decisions that move their due date more than once.
Stalled loops. Hiring loops sitting in the same stage for more than a week with no scheduled action.
Response latency. Median time-to-first-reply on internal Slack and shared inboxes.
Scope ambiguity. Number of tickets reopened or reclassified in the last week.

None of these is decisive alone. Two together is yellow. Three is a conversation owed inside the week. Catch it here and the fix costs a conversation. Miss it and it costs a quarter.

2. The People-as-a-product checklist

Treat each People offering as a product. Onboarding is a product. Performance is a product. Comp, learning, internal mobility: all products. Each one needs:

A named owner accountable for outcomes, not activities.
A defined user. Often more than one (employee, manager, exec).
A versioned spec. What it does, what it deliberately does not do.
A measurement rhythm. Two or three numbers, reviewed monthly.
A retire date or a renewal date. Things that never get retired absorb the team.

The checklist sounds obvious. Almost no People function passes it cleanly. Half of what most teams ship has no defined user and no measurement rhythm, which is why the team feels busy and the company feels unserved.

3. The 90-day roadmap

The other four diagnostics tell you where you are. This one is sequencing.

Three priorities for the first 30 days. Three for days 31 to 60. Three for days 61 to 90. Each priority has a single owner, a single weekly check-in, and a single visible scorecard. Nine items total. No more.

The roadmap is the artefact a new People leader shows the CEO in week two. It is also the artefact you show the team, so they know what is being prioritised and, by implication, what is not.

4. The workflow heatmap

A grid of every recurring People workflow on one axis and three properties on the other:

Frequency: how often it runs.
Pain: how much manual coordination it costs per run.
AI fit: which steps could be safely automated today, given current tooling and data.

Heatmap colours fall out of the multiplication. The hottest cells are where the next investment goes. This is the same logic as the workflow assessment framework, compressed to a single artefact the leadership team can read in two minutes.

5. The AI readiness read

Score the six axes from the AI readiness diagnostic honestly. Most teams overestimate readiness on tooling and underestimate readiness on data. Nobody scores a clean 9 across all six first try. What matters is why tooling comes back a 7 and data comes back a 3.

Pair this read with the heatmap and you get a defensible answer to the question every CFO will ask: of all the things we could build with AI, why this one first?

How to run the toolkit

Three weeks. Week one: heatmap and AI readiness, run as workshops with the team. Week two: People-as-a-product checklist, run as a desk exercise on each offering. Week three: 90-day roadmap, drafted privately, then pressure-tested with the CEO and CPO. The underperformance early warning starts week one and never stops.

The output is a single page. Five sections, one per diagnostic, written in present tense. That page is the artefact you reference in every prioritisation conversation for the next six months.

Get this right and every later decision, including the AI ones, has a defensible foundation under it. Skip it and you will spend the next year defending choices nobody can connect to a real read of the function.

What this connects to

Auto-recommended next reads in the People Ops cluster, ranked by shared concepts and headings:

Common questions

When should a People leader run a full diagnostic?: Three moments. New into the role, new exec team, or before any AI investment over six figures. Also worth re-running after a reorg or a funding round, because both change headcount and priorities before anyone gets round to updating the roadmap.
What is the underperformance early warning?: It runs off data you already have: 1-1 calendar entries, ticket timestamps, Slack response times. No new tooling, no dashboard build. Same five signals, same order, every Friday, so you can compare this week against last week rather than judging each signal in isolation.
What does People-as-a-product mean in practice?: It means every offering carries a retire date. Skip that and the catalogue only ever grows: half the reason a six-person People team is drowning is that some of what they ship should have been sunset two reorgs ago.
How does the 90-day roadmap connect to the other diagnostics?: It runs alongside the early warning, not instead of it. The roadmap sets the nine priorities; the weekly signals tell you in week three if priority four needs to jump the queue. Skip that link and you end up defending a 90-day plan that stopped matching reality around day 40.
Where does AI fit in the diagnostic toolkit?: Two artefacts, not one score. The heatmap ranks automation candidates from work you already run. The readiness read scores whether the team, the data, and the governance can actually support it. A hot cell on the heatmap next to a weak readiness score is a build to postpone, not one to cancel.

12 min

When reading turns into doing

The Grain Audit maps one People Ops process end to end, ranks the highest-return automations, and hands you a 90-day plan you keep whether or not we work together.

Two weeks. GBP 2,000, credited in full against a programme. Three slots a month.

Book a Grain Audit

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