Objectives and Key Results (OKRs) are a popular goal-setting framework that businesses use to set clear, measurable objectives and track their progress. Effective OKRs are specific, measurable, achievable, relevant, and time-bound, ensuring they align with business goals and can be effectively communicated through effective ChatGPT prompts.

Here we will discuss how GenAI can help to make OKRs even better, and how Prodmap.AI can supercharge OKR workflow. We also delve into their pros and cons and provide valuable advice on how to write effective OKRs within the objectives and key results framework for optimal results.

Unlocking AI's Potential: Rapid Generation of Meaningful OKRs in Seconds

While it sounds simple, writing good OKRs could be a difficult task. PMs can often agonize for days on a single sentence, trying to phrase the Objective just right. Tools like ChatGPT are incredibly helpful to help overcome that block. However, they are not perfect and require a lot of manual work.

In this example, you see that ChatGPT has written an Objective and a set of Key Results that would normally be against best practices. Let's take a closer look.

• The objective is too generic - a good Objective should describe an outcome, something like "Duolingo is used multiple times per day by students" or "Duolingo should be a platform for fun, where people like to spend their time to learn".

• There are too many key results. The best practice is having 3 key results per objective. In rare cases you can go up to 5, but never 7, as no one on the team will remember them.

• Key Results should not have directions in them, as that takes away the freedom from product teams.

• Key results don't have actual targets, making the evaluation of success ambiguous.

• Key results have different timeframes - quarter, 6 months, next year. Ideally, all key results for each objective should be archived within the same quarter or year. This highlights the importance of utilizing effective product management software to streamline the OKR setting process and ensure alignment with best practices.

Why is GPT struggling with OKR generation?

With the AI assistant, product managers can focus on the strategic and creative aspects of product management, while leaving the more mundane and time-consuming tasks to the platform. By combining the power of AI technology with modern product management principles, Prodmap.ai is revolutionizing the way that product teams approach product management and helping them to create better products in less time, thus streamlining product development initiatives.