The metrics that actually matter
When a client asks us to justify an engagement, we focus on three numbers:
- Hours saved per week. Add up the manual work the new system eliminates. Multiply by loaded labor cost. That's your baseline ROI.
- Error rate delta. What did the old process get wrong? What does the new one get wrong? Errors in finance, compliance, or customer-facing workflows have compounding costs.
- Throughput change. What can your team do now that they couldn't before? Faster response times, more customers per headcount, shorter cycle times — these are the numbers that compound.
The metrics that don't
- "Engagement." Nobody ever billed a customer for engagement.
- "Innovation." A useful result, not a measurable one.
- "Model accuracy" in isolation. A 95% accurate model doing the wrong job is worth less than a 70% accurate model doing the right one.
- Lines of code. You knew this one.
How we present it
Every engagement gets a before/after dashboard. We measure the key metric manually before we start, automate the measurement during the build, and keep reporting on it after we're gone. If the numbers don't move, we didn't do our job.
Simple test: if a board member can't look at your dashboard and understand why the work was worth it, the metrics are wrong.
