Why current productivity effects are difficult to measure

What the source reports

Newer developer data suggested improvement, but participant selection, task selection and concurrent agent use made the effect estimate unreliable.

What it means for an assessment

Date the tool configuration and preserve the measurement method. Reassess when tools or working practices change.

A question to bring to the client case

Would a later tool version change the earlier investment decision? Record the version, workflow and measurement period, then check whether the comparison still represents how people work. Selection effects and parallel work can make a plausible improvement difficult to measure reliably.

The practical interpretation is Versta’s. The linked source provides the research evidence; suitability and expected value must be assessed for the customer’s own circumstances.