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Goodness, no.

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.
By observing users and talking with customers, you learn what they need that neither you nor your competitors provide.

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.
Qual-first ensures you’re focused outwardly on your customers and users.

Quant-first drives orgs to be inwardly business-metric focused and ignore true user needs.
Qual-first gives the team stories to show the true value of their work.

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.
Deep qualitative research is gives rich answers to many questions.

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.

Trying to do quant first and then look at the qual is always misleading (and often undetectably so).

It’s a common mistake teams make.

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