Performance review season comes around. The team writes self-assessments under duress. Managers spend a weekend writing reviews that say roughly what they would have said three months ago. The calibration meeting argues about ratings. Letters go out. Six weeks later, no one can name a thing that changed. This is the loop most companies are stuck in.
The teams that escape it are not running better quarterly cycles. They have a different system.
The three cadences
A working coaching and feedback system runs on three cadences at once:
- Weekly, in the 1-1. Evidence-led, lightweight, two or three concrete items each side. This is where most of the actual feedback lives.
- Monthly, at the team level. A short retrospective on team performance. What shipped, what stalled, what we are learning. The manager runs this with the team, not about it.
- Quarterly, at calibration. Cross-team conversation about levels, scope, and progression. Grounded in the evidence accumulated weekly, not in narratives written the night before.
The quarterly cycle most companies bet everything on is the easiest to get right and the least useful one in isolation. Without the weekly and monthly cadences underneath, calibration is theatre.
What "evidence-led" means
The phrase sounds heavy. The practice is light.
In a 1-1, both sides bring two or three pieces of recent evidence. A shipped artefact, a decision, a customer interaction, a moment of friction. The conversation starts from evidence, not from feeling. It produces specific feedback because it is grounded in specific work.
The manager's job is to do three things with each piece of evidence:
- Notice the pattern. This is the third decision like this in two weeks. Or, this is unusual for you.
- Interpret it. Here is what I see. Here is what I might be missing.
- Commit to a next move. What we will both do differently before the next 1-1.
Three sections. Same template every week. Eight weeks of this changes a team more than any review cycle.
Where AI fits without flattening the craft
There are three honest places for AI in a coaching system. None of them is delivering the feedback.
Capturing evidence. AI drafts, summaries, and transcripts mean the manager spends their time on judgment rather than note-taking. The 1-1 notes write themselves; the manager reads, edits, and signs. Time freed goes back into thinking about the person, not the paperwork.
Pattern detection. Across a team or a quarter, AI surfaces themes a single manager would miss: the same kind of slippage in three different reports, a theme in stakeholder feedback that no one person noticed. The output is a prompt for the human to investigate, not a verdict.
Practice scenarios. Managers learning the craft of feedback need reps. AI generates realistic scenarios from the team's actual work patterns: the report who is over-committing, the senior IC drifting from the role, the pair stuck in a disagreement. Practising the conversation before having it raises the quality of the real one.
What AI must not do: generate the feedback itself. The moment the manager is rubber-stamping a model's verdict, the relationship has changed and the person on the other side knows.
The smallest version that works
If your team has nothing today, do not build the whole system. Build the 1-1 template:
- Evidence: what happened this week.
- Interpretation: what it means.
- Commitment: what we agree to do differently.
Run it for eight weeks. Add nothing. Most systems fail because they start with the calibration meeting, not the 1-1. Get the 1-1 right and the rest of the system has somewhere to stand.
How this connects to AI-native People work
Coaching and feedback are the two systems that decide whether AI capability actually sticks across a function. The team that has weekly evidence-led 1-1s will surface AI experiments, share patterns, and standardise practice without needing a separate enablement programme. The team that does not will have isolated power users and no compounding.
This is why the AI-native People team work and the enablement operating model both depend on a working coaching system underneath. AI craft becomes part of how managers develop their reports, alongside every other craft. No separate track.
What this connects to
Auto-recommended next reads in the People Ops cluster, ranked by shared concepts and headings:
- Designing values that stick
- An AI policy blueprint for People teams
- Choosing AI models for HR work
- Leading the AI transformation in People
Common questions
- Why do most performance systems fail to compound?
- They run on the wrong cadence. Quarterly cycles produce a flurry of activity, then six weeks of decay, then a panicked catch-up. The systems that compound run weekly at the 1-1 level, monthly at the team level, quarterly at the calibration level. The cadence does the work.
- What is an evidence-led 1-1?
- A 1-1 where both sides bring two or three pieces of recent evidence: a shipped artefact, a decision, a customer interaction, a moment of friction. The conversation starts from evidence, not from feeling. It produces specific feedback because it is grounded in specific work.
- Where does AI fit, without flattening the craft?
- Three places. Capturing evidence (drafts, summaries, transcripts so the manager spends their time on judgment, not note-taking). Pattern detection across a team or quarter (themes a single manager would miss). And generating practice scenarios for managers learning the craft. AI does not deliver the feedback. The manager does.
- What is the simplest version of this system to start with?
- A weekly 1-1 template with three sections: evidence (what happened), interpretation (what it means), commitment (what we agree to do differently). Run it for eight weeks before adding anything else. Most systems fail because they start with the calibration meeting, not the 1-1.
- How does this connect to the AI-native People team work?
- Coaching and feedback are the two systems that decide whether AI capability sticks. Without them, individuals adopt AI patchily and the team never standardises. With them, the AI craft becomes part of how managers develop their reports, alongside every other craft.
If this resonated, there's more.
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