ThinkWithPrompt by SynotticThinkWithPrompt

Plan how to make training stick on the job

A before, during, and after plan that helps trainees apply new skills at work, with roles for managers and ways to measure it.

Learning & TeachingFew-ShotStandardLeadershipPlanCodeFill-in Template

The prompt

Help me design a learning-transfer plan so people apply what they learn in training to their actual work. Training program: [TOPIC and format] Learners: [roles, experience] The work situation where they should use it: [specific task or challenge, e.g. "handling pricing objections on renewal calls"] What usually gets in the way: [e.g. no time to practice, managers don't reinforce, old habits, tools don't support it] Who can help: [managers, peer coaches, L&D, team leads] Use the main drivers of transfer: learner motivation and confidence, relevance of the content to real tasks, opportunity to use the skill soon, and support from managers and peers. Return: 1. Before training: how to set expectations (manager pre-conversation, a real goal or work problem each learner brings). 2. During training: practice on real cases, action plans, and anticipating obstacles (if-then plans). 3. After training (first 90 days): spaced reminders, on-the-job assignments, check-ins, job aids, and peer practice, laid out week by week. 4. Manager toolkit: a short script for the pre- and post-training conversations and what to observe. 5. Barrier fixes: for each barrier I listed, a specific countermeasure. 6. Measurement: behaviors to observe, who observes them, and when; one business metric to watch. Keep it practical for busy managers: their total time commitment should be under 30 minutes a month per learner.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • TOPIC and format
  • roles, experience
  • managers, peer coaches, L&D, team leads

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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