the short story
of why you want to
validate
a feature
How validate.design helps Hans
improve the quality of his product in ways
qualitative studies or analytics alone can't.
Meet HANS
Hans is a skilled Product Owner, UX Designer,
Product Manager, Product Person working on the companies website and app. Every release he and his team adds or improves features in their existing products.
Being design savvy, the team first used qualitative research and quantitative analytics to identify friction. These insights where then crafted into beautiful designs. And occasionally* those designs are tested with actual users.
* This isn't always the case as it's hard for the team to get the ressources needed. Often times peer-reviews or hallway testings have to suffice. Not ideal, but eh?
To be fair, we're UX designers and we've been there too.
Next the design is carefully implemented, thoroughly tested and released.
And then...
... Nothing!
The team moves on to the next feature.
Fire and Forget
Obviously this isn't ideal. Without UX validation every release adds uncertainty to Hans' product.
Does a feature work as smooth as expected?
Why does it (not) work?
In the beginning some uncertainty can be managed. As the product grows, so do the blind spots. Eventually friction will creep in, keeping visitors from reaching their goals ‒ and ultimately impacting his companies growth.
The
Prob
lem
You probably agree that Hans needs to understand his product to make informed decissions. Unfortunately reality for product people like him means at some point they have to start guessing. Hans knows it's not ideal, but there aren't enough resources for regular usability testing.
Either because qualitative UX studies take too long and are too expensive ‒ or ‒ quantitative analytics only tells them that there is a problem, but not why.
Hans has gotten used to rely on gut feeling, but is looking for a better approach to designing products.
Please welcome
Qualitative Analytics.
Qualitative
Analytics?
It's the best of two UX methods and sits right at the sweet spot
between qualitative in-person studies and quantitative data analytics eliminating their respective down sides. It ...
- costs a fraction of an in-person usability study
- let's you understand WHY people fail.
step one
Kickoff +
Session recorder
During our inital briefing you'll show us what you want to validate. Then the session recorder visualy records all the interactions of your visitors in the background.
Compared to previous tools like hotjar these new tools offer a unique combination of screen recording and analytics...
Step two
Quantitative
data Analytics
... making it possible to filter through thousands of recordings (using events, segments and funnels) until we find the relevant ones, much like we would in Google Analytics.
And this is where the fun begins...
step three
Qualitative
Usability Study
...once we identified the relevant recordings we can study them and gain an understanding of your product's UX. Similar to a qualitative usability study, just at a quarter* of the cost and effort.
* costs approx. 20-25% of a traditional in-person usability study
Product Owners
and Project Managers
- single feature validation or workflow integration
- deliver higher quality products
- reduce uncertainty and risk
- better informed decissions
UX Teams and Designers
- run by experienced UX designers,
think of us as a remote team member - iterate on your designs, increase their impact
- more time for research,
collaborative workshops and design
validate within days,
not weeks
- You tell us what feature you'd like to get validated
- Live sessions of your visitors are recorded in the background
- Our experts review those sessions
- You recieve a ready-to-be-shared report
curious to validate
your first feature?
Send us your idea or any question and let's find out how we can improve your product together.
or call us +41 76 488 24 97 to say «hi» and
talk to the humans behind validate.design.