01
Prepare the evidence
Bring the review down to one clear scope and remove identifying details before analysis.
Made for Corporate Trainers
Run a Same-Day Training Friction Review
Also useful for: people in Education
60 min
Intermediate
Education
Corporate Trainer
Get Something Done
Career outcome:
Improve Productivity
Review one training session or course run, pinpoint the strongest signs of learner friction, and decide what to fix now versus later.
We'll use them to write your prompt.
Completed ✓
Make Your Play
Give us the situation. We’ll build the prompt.
Scattered questions, missed answers, comments, and facilitator notes can hide the real problem.
Your answers save as you type.
What you'll do
This is the plan inside your prompt. Add your details first. Then follow these steps with ChatGPT or Claude.
02
Turn raw notes into signals
Separate what happened from assumptions about why it happened.
03
Group the friction points
Combine repeated signals without blending unrelated problems into one broad finding.
04
Rank what matters most
Score each friction point by how often it appears, how much it blocks progress, its effect on job performance, and the strength of the evidence.
05
Split quick fixes from larger changes
Choose a small number of changes you can make now and keep unsupported or approval-heavy changes out of the same-day work.
06
Record the review and next check
Create a usable record so you can make the changes and test whether friction drops during the next delivery.
Make Your Play
Run a Same-Day Training Friction Review
Tell us what the prompt needs to know
Start with the questions below. Each answer personalizes the playbook and builds the prompt you’ll use at the end.
Your situation
Describe the course, audience, delivery format, module reviewed, and when the training ran.
0/10000
State what learners should be able to do on the job after this training.
0/10000
Choose the amount of training evidence you want to review.
Paste anonymized support questions, learner comments, missed questions, drop-off points, facilitator notes, and observations.
0/10000
List what you can change today, what needs approval, and any time, system, policy, or compliance limits.
0/10000
This playbook was updated. Review your inputs before copying.
What you'll do
Check a step when you finish it.
01
Prepare the evidence
Bring the review down to one clear scope and remove identifying details before analysis.
02
Turn raw notes into signals
Separate what happened from assumptions about why it happened.
03
Group the friction points
Combine repeated signals without blending unrelated problems into one broad finding.
04
Rank what matters most
Score each friction point by how often it appears, how much it blocks progress, its effect on job performance, and the strength of the evidence.
05
Split quick fixes from larger changes
Choose a small number of changes you can make now and keep unsupported or approval-heavy changes out of the same-day work.
06
Record the review and next check
Create a usable record so you can make the changes and test whether friction drops during the next delivery.
Fill in the fields above to generate your prompt preview.
Assembled prompt
Beginner instructions
Start with one module or session. Paste raw notes without trying to diagnose the problems first. Remove names and other identifying details, then let the AI organize the evidence before you review the rankings.
Advanced instructions
Run separate reviews for different learner groups when job context or prior knowledge differs. Compare the rankings, challenge weak causal claims, and require at least one follow-up measure for every same-day fix.
Use this when
Use this after a live session, pilot, course launch, or assessment review when you need practical improvements before the next delivery.
You'll need
- Course context
- Work success target
- Review scope
- Training evidence
- Change constraints
You'll get
- One evidence table, a ranked list of friction points, no more than three same-day fixes, a backlog for larger changes, and a clear measure for the next delivery
- You can trace every recommendation back to supplied evidence.
By the end of this playbook
You will have:
- One evidence table, a ranked list of friction points, no more than three same-day fixes, a backlog for larger changes, and a clear measure for the next delivery
- You can trace every recommendation back to supplied evidence.
Examples
Progress 1 of 6