"The best products can be grounded in some kind of success metric or evaluation,"
"I've seen that a lot in talking to companies that are deploying AI."
"Is this a good product now, and is this a product that's going to set up to succeed and scale?"
"When it gets fuzzy, it's very hard to then evaluate, did it help?"
Companies need measurable success metrics to evaluate AI tools and avoid AI-driven FOMO. Product teams should ask whether a tool is currently effective and whether it can scale successfully. Some roles, such as technical support and legal, permit clear metrics like reduced turnaround time on specific tasks. Other use cases produce ambiguous benefits that make evaluation difficult. Daily active users can serve as a simple indicator of usefulness for some products. Measurement can reveal productivity gains; one example measured a 10% boost in engineering velocity by tracking increased engineering capacity in hours per week.
Read at Business Insider
Unable to calculate read time
Collection
[
|
...
]