AI agent for grant writers
Outcome Metrics Alignment Agent
Make every promised outcome measurable with the organization's real data and aligned with the funder's rules.
What it does
A proposal promises outcomes like improved confidence or reduced isolation, and months later the organization discovers it cannot collect the data. This agent reads the proposal's outcomes and the funder's guidelines, then compares each outcome with the data the organization can actually collect, based on its tools, staffing, and past data. It flags outcomes that cannot be measured, are measured with an unsuitable instrument, or lack a baseline or timeline. For each, it proposes a measure, a collection method, a data owner and a target that fits the capacity. It rechecks the revised outcomes against the funder's rules, such as required indicators and reporting periods. It never edits the proposal. The writer approves each change. Edge case: a funder-required indicator that the organization cannot collect is flagged for a decision.
How it works
Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.
Read the steps as a list
- Proposal draft ready
- Extract each outcome and target from the proposal
- Read the funder's required indicators and the data inventory
- Test each outcome for measure, owner, baseline and timeline
- Flag outcomes that fail and propose measures and methods
- Is each proposed target realistic against past data?If not: adjust the target or the measure and test again. Back to step 4.
- Do the revised outcomes meet the funder's rules and indicators?If not: list the conflicts and propose wording that meets the rule. Back to step 4.
- Writer approves the changesThe agent waits here for your OK.
- Write the alignment table for the proposal and the evaluation plan
- Measurable outcomes list
How it decides
An outcome passes when a named measure exists, someone owns collecting it, a baseline is available and the target is realistic against past data.
- Fail an outcome with no named measure or owner
- Fail a target above 25% over last year's result without a reason
- Require the funder's indicators to appear exactly as defined
- Flag a collection method that exceeds staff capacity
Make it yours
Every agent is a starting point. You choose these settings for your own situation.
- Measurement tools available
- Realism limit (default 25% over past results)
- Funder indicator list
- Data owners
- Evaluation plan template
What keeps you in control
It always asks you first
- Each change to outcomes or targets
- The final alignment table
Hard limits
- Never edit the proposal text
- Never promise data the organization cannot collect
It stops when
- Done: all outcomes measurable and aligned
- Stop: required indicator cannot be collected and needs a funder decision
Set it up
We guide you through the set-up, step by step
Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.
- One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
- The agent then walks you through connecting your own data, one source at a time
- A downloadable copy with the flow chart, the rules and the full guide
