G2

Vladimir N.

Design Supervisor / Product Manager / UX Generalist / Design System Evangelist

Enterprise (> 1000 emp.)

9/15/2026

Business partner of the seller or seller's competitor, not included in G2 scores.

"Finds usability frictions before real users do"

5/5

What do you like best about Synthers AI?

1. The annotated-screenshot format makes findings immediately shareable with non-UX stakeholders (clients, PMs) without extra write-up work

2. Works on Figma prototypes as easily as live URLs, including flows behind a login

3. MCP integration means I can run it as a skill from my own AI workflow instead of switching tools

4. Captures why a persona hesitated, not just that it did — more useful than a raw click/attention map Review collected by and hosted on G2.com.

What do you dislike about Synthers AI?

It’s a solid first pass, but not a replacement for real user testing on anything high-stakes. I still treat it as a way to catch obvious issues early on, rather than as final validation. I’d also like more transparency into the persona’s underlying assumptions, so I can better judge how much weight to give any specific flagged issue. Review collected by and hosted on G2.com.

What problems is Synthers AI solving and how is that benefiting you?

Usability testing before ship or before a client proposal usually means recruiting real testers, scheduling sessions, and waiting days or weeks for results — overhead I don't have on most freelance engagements. Synthers AI compresses that into a same-day pass I can run before I've even committed real budget to formal testing. It also works directly against Figma prototypes and gated/logged-in flows, which is where a lot of my actual review work happens — most cheap or fast alternatives only handle public, already-live URLs.

How that benefits me:

- I catch obvious friction points early, before spending a client's testing budget on issues a synthetic pass would've flagged anyway

- The annotated-screenshot output gives me something concrete to put in front of a client to justify a fix or a scope addition, instead of just my own opinion

- Running it as an MCP skill means it fits into my existing AI workflow rather than being a separate tool I have to context-switch into

- Net effect: more defensible recommendations, delivered faster, at a cost that actually makes sense for freelance-scale projects Review collected by and hosted on G2.com.