Slide 25
Slide 25 text
Low-level
Frictions and gaps manifest
as issues, discussions or bad
app reviews, etc. They also
surface in quantitative data
which indicates an area for
improvement.
Mid-level
Groupings and patterns that
show up in the data sources
when looked at collectively.
These patterns can originate
from both qualitative and
quantitative data sources.
High-level
Talks about the functionality
provided by the product /
needed by the customer.
Another example
Let's combine technical with the business
High-level insights
Mid-level classifications
Low-level data
📣Pagination related issues (forum)
🚚Issues around filtering, batch creation, import
(GitHub issues, API errors)
🔴Frequent 429 error code alerts for specific API
resources (API consumption)
Users struggle with
bulk data-operations
Lead
generation
Contact
segmentation
3rd party data sync