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AI agent for training coordinators

Post-Training Evaluation Agent

Know whether each program changed behavior and results

Post-Training Evaluation Agent: what goes in, what the agent does and what you get

What it does

Most training is judged by a satisfaction survey, which says little about whether people work differently afterward. This agent runs the full evaluation. It sends the end-of-session survey, scores the knowledge check, and at 30 and 60 days asks participants and their managers whether the skill is being used on the job. It checks the response rate before trusting any result and sends reminders when it is below the set level. Where data exists, it compares work measures before and after, such as error rates or ticket times. It summarizes results per program and flags programs with good ratings but no behavior change. The trainer reviews the findings before anything goes to stakeholders. Edge case: if a measure changed for other reasons, like a new tool going live, the agent notes that the result cannot be credited to training alone.

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.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedNo 1 STARTS WHEN Session ends 2 USES A TOOL Send survey and score knowledge check 3 USES A TOOL Send 30 and 60 day follow-ups to participants andmanagers 4 CHECKS THE RESULT Is the response rate high enough to trust? If not: send reminders and extend the window. Back tostep 3. 5 DOES Compare work measures before and after 6 YOU APPROVE Trainer reviews findings 7 RESULT Program evaluation report
Read the steps as a list
  1. Session ends
  2. Send survey and score knowledge check
  3. Send 30 and 60 day follow-ups to participants and managers
  4. Is the response rate high enough to trust?If not: send reminders and extend the window. Back to step 3.
  5. Compare work measures before and after
  6. Trainer reviews findingsThe agent waits here for your OK.
  7. Program evaluation report

How it decides

Programs are rated on reaction, learning, behavior and results. Low response rates block conclusions.

  • Below 40% response is not reported as a finding
  • Good ratings without behavior change flag the program
  • Other causes noted next to results

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Follow-up timing
  • Response rate threshold
  • Work measures
  • Report audience

What keeps you in control

It always asks you first

  • Sharing results with stakeholders

Hard limits

  • Individual answers kept confidential
  • No claims beyond the data

It stops when

  • Done: 60-day report
  • Stop: program cancelled

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.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • 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
Get access to this agent

An example run

What happensA customer service course run on March 3 rated 4.6 out of 5. At the 30-day follow-up only 28% of managers had answered, below the 40% bar, so the agent sent two reminders and the rate reached 55%. The 60-day results showed only 30% of managers saw the new call steps used. The trainer approved adding a coaching follow-up, and the next cohort reached 65%.

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