Continuous Feedback Prompt Agent
A continuous feedback prompt agent is an AI agent for performance & talent management that prompts managers and peers to give feedback at natural moments (a project closes, a milestone lands, a 1:1 is coming up) and helps rewrite vague feedback into specific, behavior-based feedback before it is sent. Before a 1:1 it surfaces open goals, recent feedback, and prior action items as talking points.
How does the continuous feedback prompt agent work?
What flows in, what the agent does with it, where a person decides, and what comes out.
Reads from
Project and milestone signals · One-to-one and calendar data · Goals and prior feedback · Feedback guidelines
AI agent · runs when a milestone lands or a one-to-one is coming up
Continuous Feedback Prompt Agent
A person sets the rules and can override
HR sets prompt moments; the giver decides what to send
Produces
Feedback prompts at natural moments · Redrafted feedback for the giver to send · One-to-one prep note for the manager
What does the continuous feedback prompt agent do?
Prompts managers and peers to give feedback at natural moments (a project closes, a milestone lands, a 1:1 is coming up) and helps rewrite vague feedback into specific, behavior-based feedback before it is sent. Before a 1:1 it surfaces open goals, recent feedback, and prior action items as talking points.
What does it produce?
Timely feedback prompts, a redrafted version of the feedback the giver wrote, and a 1:1 prep note
Who decides?
The feedback giver decides what to say and whether to send it; the manager decides what to raise in the 1:1. The agent prompts and helps phrase, it does not author feedback about someone on its own.
What systems does the continuous feedback prompt agent connect to?
Examples of the kind of systems this agent would read from or write to, so you can picture it in your own stack. The actual set is whatever you run.
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Performance and feedback
feedback and 1:1 notes
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Work tools
milestone signals
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Calendar
1:1 timing
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Chat
prompts and rewrites
What data does it need?
- project and milestone signals from work tools
- 1:1 and calendar data
- goals and prior feedback
- feedback quality guidelines
How would you measure it?
feedback frequency and coverage, monthly, by team; specificity sampled monthly against a rubric; prompt accept rate, weekly; manager capability items in the engagement survey, per survey
What does a first proof look like?
Pilot with a few teams for six weeks. Prompts fire on real milestones and before 1:1s; givers can accept, edit or discard rewrites.
You'd call it working when
Feedback volume and specificity rise in the pilot teams by HR's rubric, and givers say the rewrites still sound like them.
What usually goes wrong?
- Rewrites that change meaning are worse than vague feedback; show the diff and keep the giver's voice
- Signals from work tools are surveillance if not agreed; scope them narrowly
- A 1:1 prep note visible to the wrong person is a leak
What are the guardrails?
- Never authors feedback about someone on its own; only prompts and rephrases what the giver wrote
- Work-tool signals limited to agreed event types; works council consultation where required
- 1:1 prep note visible only to the manager and the employee
- Feedback content not aggregated into any rating or ranking
What leaves your boundary is set per build; the inputs above are the ceiling, and where the model runs, what it retains, and the DPA are agreed with your security team before anything is connected.
Our read
Clearly valuable with real deployments behind it. Needs care on data and adoption.
Parts of this may exist in your current tools. The case for building is usually the join across systems, or your rules and language, that a suite feature cannot carry.
individual performance feedback; works councils care about signals pulled from work tools
Where it sits in the order
Needs goals in place and the work-tool signal scope agreed with employee representatives first.
Is a Continuous Feedback Prompt Agent worth building for your function?
That depends on your numbers, your data, and what else is on the map for you. The strategy month works that out.
Thirty minutes. Bring the number this would move.