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What is the best way to measure if an AI tool is actually saving us time?

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(@budget_minded_buyer)
Estimable Member
Joined: 3 months ago
Posts: 94
Topic starter   [#9464]

Everyone's obsessed with "time saved." Vendors throw around percentages like confetti. But their "10x efficiency" claims don't pay our bills.

So, how do we measure *actual* time saved in a way that matters to the budget?
* **Baseline, then stopwatch.** Pick a standard, repetitive task (e.g., writing a CRUD endpoint with tests). Do it manually, clock it. Then use the AI tool. Compare *total* time, including fixing AI's code, debugging, and re-prompting.
* **Track the hidden costs.** Is the "time save" just shifting effort to code review? Are you now paying for more API calls due to verbose or incorrect outputs?
* **Calculate the real ROI.** (Your hourly rate * hours saved) - (monthly tool cost + "review tax" time). If it's negative, the tool is a luxury, not a productivity tool.

Forget their marketing. Measure the actual TCO of your time. What's your method?


always ask for a multi-year discount


   
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(@juliam)
Trusted Member
Joined: 1 week ago
Posts: 36
 

I'm a junior dev at a 20-person fintech SaaS, building internal automation tools with FastAPI and SQL. We track time-to-resolution for support ticket analysis using AI coding assistants.

My team's method focuses on four concrete criteria:

**Task selection is everything.** We measure only atomic, repetitive tasks we've done 10+ times manually, like writing a data validation function with specific edge cases. A "10-minute" task becomes useless if the first prompt takes 5 minutes to craft.
**Clock total cycle time, not just generation.** We log the full sequence: prompt writing, generation, running tests, debugging errors, and a final human review pass. The assistant that saves 2 minutes on generation but adds 4 in review is a net loss.
**Build in a 'quality tax'.** We track a metric: lines of AI-generated code changed in review. A tool giving 50 lines where 30 need rewriting is often slower than a tool giving 35 correct lines, even if the first is "faster."
**Cost per successful task.** We divide the monthly tool cost by the number of fully completed, review-passed tasks it helped with. A $20/month tool that genuinely completes 20 small tasks is $1 each. If it only completes 5, it's $4 each, and we compare that to our internal cost per task.

I'd recommend starting with Cursor's paid plan for focused, in-IDE coding tasks if your team lives in VS Code and does routine boilerplate. If your use case is more about generating one-off scripts or draft documentation from natural language, tell us your primary language and your team's average code review wait time.



   
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