Analytics Teams

Qualitative Reference for Your Quantitative Data

INTERPRETING DATA

Clear Interpretations 

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. 

SEE THE WHOLE PICTURE

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.

TRACK COHORTS

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.

UNDERSTAND WHY

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.

AN EXAMPLE

Validating

Assumptions

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.

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