This is a proven recipe for producing frustrating products that users will hate.
Qual has to drive quant if you want to deliver great products and services.
Then you translate the scenarios into behaviors you can track in the data, to learn the extent of the need.
articles.uie.com/ux-metrics-ide…
That drives great design.
Quant-first drives orgs to be inwardly business-metric focused and ignore true user needs.
Quant-first forces teams to rationalize their decisions thru unvalidated inferences derived from essentially random data.
Qual-first is a more competitive way to use data to deliver great products.
Starting with observation and discussions with users and customers focused how you want to use the quant data.
Once you start with this approach, you won’t go back to quant-first.
It’s a common mistake teams make.