Output vs Outcome: Measuring Success in AI.TDD

Introduction

In AI.TDD, we must focus on outcomes rather than outputs. This shift in thinking is crucial for measuring real success.

Output vs Outcome

• Output: What we produce (code, features, tests)
• Outcome: What we achieve (user value, business impact)

Measuring AI.TDD Success

Success in AI.TDD isn't measured by lines of code or number of tests, but by the value delivered to users and the business.

Outcome-Driven Development

Focus on the outcomes you want to achieve, then use AI.TDD to get there efficiently and effectively.

Conclusion

AI.TDD helps us focus on outcomes rather than outputs, leading to better results and higher value.