AI can be incredibly useful in generating and refining Key Results, ensuring they are measurable and impactful.

AI Prompt 1: Generating Measurable Key Results

"For the objective 'Delight our customers with an incredibly seamless onboarding experience.', suggest 5 measurable key results that would indicate significant progress. Include a mix of output and outcome-based metrics."

Expected AI Output (Examples):

• Outcome: "Increase average new user activation rate from 60% to 85%."
• Outcome: "Reduce time to first successful user action from 30 minutes to under 10 minutes."
• Outcome: "Achieve a New User Onboarding Satisfaction Score (OSS) of 4.5 out of 5."
• Output (leading to outcome): "Successfully implement and test 3 new onboarding tutorial videos, achieving a 70% completion rate for each."
• Outcome: "Decrease the number of support requests related to initial setup by 40%."
  
  

AI Prompt 2: Analysing and Improving Existing Key Results

"Analyse the following potential Key Result: 'Launch a new mobile app'. Provide feedback on its measurability, specificity, and ambition, and suggest improvements to make it an outcome-based KR."

Expected AI Output (Examples):

Feedback: This is an activity/output, not an outcome. It's specific in terms of the action but doesn't tell us why we're launching it or what success looks like beyond the launch itself. Its ambition is tied to completion, not impact.
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Suggestions for Improvement (Outcome-based KRs):

• "Increase mobile app daily active users (DAU) from 0 to 10,000 within the first quarter post-launch."
• "Achieve a 4.5-star rating for the new mobile app on app stores."
• "Drive 20% of all new customer sign-ups through the mobile app."
• "Reduce average user session time on the mobile app by 15% (if the goal is efficiency) or increase by 20% (if the goal is engagement).