Using qualitative data in conjunction with quantitative data gives analytics teams a crucial reference point when determining causation of a problem. The power this adds to data oriented decision making cannot go understated.
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Verbal Interactions From Cohorts You Already Track
OmniPanel links to your database and 3rd party tools so you can follow the qualitative side of the data picture for the cohorts you already follow. This way, you can see what feedback cohorts are reporting to customer support in order to make better informed and more impactful business decisions from your data.
Get specific about the combination of user characteristics you’d like to get a closer look at. Discover new cohorts or track pre-existing ones.
SEE THE TRENDS
Quickly see key issues, their effect on different cohorts, and how they evolve over time after launching new business iterations.
When looking at specific issues that affect all users or certain cohorts, you can hear what users are saying and figure out the causation.
VALIDATE DATA ASSUMPTIONS
Draw qualitative context from your cohorts to make sure your quantitative data assumptions align with what users are communicating.
If a certain cohort of users does not click into a page, it could be from many reasons: UI/UX, a bug, bad product, boredom, or totally external factors.
With OmniPanel, analytics team can select a cohort of users with certain quantitative attributes (i.e. click drop off in mixpanel) and see what the group is reporting to support. From those interactions, they will have significantly more clarity on if their assumptions are actually correct.