Here's an example of how I trained ChatGPT:
- I provided a complete example that had been manually prepared by our team.
- I gave ChatGPT our OKR quality checklist: Objective: Laconic, easily remembered; Emotionally motivating; Specific, easy to understand, what is to be achieved; Crucial for company strategy execution in the chosen period; Change (aimed at changes), and not RUN (routine). Key Results: Outcome, not a TASK; Quantitative; Measurable on a regular basis (weekly); Vital but sufficient set for reaching the Objective; Ambitious, with a clear value for the business
- I instructed ChatGPT to adjust the case to align with the company's OKRs and with each department, and to make the objectives more inspirational and qualitative, with no more than 7 words. The key results should be outcome-based, quantitative, measurable on a regular basis, and ambitious.
By following these steps, we were able to improve ChatGPT's output and generate more effective OKRs for our workshop. With some guidance and training, ChatGPT can be a useful tool for businesses looking to optimize their OKR strategy. (As you maybe recognized, the last paragraph was written by ChatGPT themself after I asking him to improve my post)