𝗦𝘁𝗼𝗽 𝗠𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝗔𝗜 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗕𝘆 𝗛𝗼𝘂𝗿𝘀 𝗦𝗮𝘃𝗲𝗱

𝗦𝘁𝗼𝗽 𝗠𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝗔𝗜 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗕𝘆 𝗛𝗼𝘂𝗿𝘀 𝗦𝗮𝘃𝗲𝗱

You ship an AI feature. Your boss asks how much time it saves users.

This sounds right. You want speed. But this question leads to wrong goals.

Many teams build tools saving hours but adding no value. The numbers look good. No one uses the tool after a week.

Old automation replaced boring tasks. Processing 1,000 invoices was simple math.

AI works differently.

• AI helps you make better choices.
• AI lets you do things impossible before.
• AI improves quality.

Measuring a coding tool by typing speed misses the point. The real value is:

• Better focus for developers.
• Easier coding for juniors.
• Less mental stress during big changes.

Stop tracking minutes. Track results.

For code reviews:

• Fewer bugs in production.
• Faster merge times.
• Higher reviewer confidence.

For support tags:

• Better routing accuracy.
• Higher customer happiness.
• Fewer human escalations.

Ask these questions before you build:

• What business goal does this hit?
• What is the current baseline?
• Which weekly signs show progress?

Do not add measurement after you launch. Baseline must exist first.

Hours saved are easy to track. Outcomes are hard to track. Outcomes tell you if you built the right thing.

Control your data. Track outcomes from day one.

Source: https://dev.to/icentric/stop-measuring-ai-features-by-hours-saved-measure-this-instead-n4b Optional learning community: https://t.me/GyaanSetuAi