# EdSpace / SafeGPT
ClientWeb app
A clearer, safer way to use AI
We designed EdSpace’s SafeGPT platform to give students, teachers and school administrators a clearer, safer way to use AI.
See all clientsThe work
The data we look at to find friction, and what we turn it into.
The problem
If 2 or more of these ring true, the answers are probably already in your data.
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Selected work
Screens on Dribbble and BehanceClient work
# EdSpace / SafeGPT
ClientWeb app
We designed EdSpace’s SafeGPT platform to give students, teachers and school administrators a clearer, safer way to use AI.
See all clients# Cancellation flow / Exit survey
ScreensEvidence
A cancellation flow with a short exit survey, so the team learns why people leave, not just how many.
View on DribbbleProof
“The process Sevgi follows is second-to-none, the research phase, the communication with us, the move to Figma, the constant tweaking and obsession over getting every single thing right.”
Ways to start
Review one journey, or the whole product.
# One journey
Look at the data behind one journey, like sign-up or checkout, and find the biggest friction.
# Whole product
Bring together analytics, recordings and support data across the product.
No. We work with the data you already collect. Analytics setup and statistical validation are scoped separately.
It depends on the scope. Once we’ve seen the full picture, we’ll share a rough timeline.
Whatever your team uses, such as product analytics, session recordings, heatmaps and support tools.
Usually read-only access or exports are enough. We agree on what we can see before we start.
A short list of friction points ranked by impact, with design recommendations and ideas to test next.