I'd start with the cross-page linking feature — it's very limited right now and doesn't allow building complex knowledge bases.
Good user focus. Add a concrete example or data point — it would strengthen the argument.
VoiceMock runs a voice mock interview and gives honest feedback — so you feel confident on the real call.
Practicing alone isn't enough. You need real pressure, live questions, and honest feedback — not a checklist in Notion.












None of these methods give you real feedback
AI asks questions out loud. You answer out loud. After each session — a structured grade and concrete recommendations on what to improve.
Criteria
→Use the STAR method to structure your answers.
I'd start with the cross-page linking feature — it's very limited right now and doesn't allow building complex knowledge bases.
Good user focus. Add a concrete example or data point — it would strengthen the argument.
I'd prioritize using an impact/effort matrix — high impact, low effort comes first.
Clear framework. Worth mentioning stakeholder trade-offs for a deeper answer.
< 2 minutes
from setup to the interviewer's first question
No account · Runs in your browser
Choose a challenge type (greenfield, improvement, AI product), industry, and company.
The AI interviewer asks questions out loud. Answer naturally, like on a real call.
Structure, depth, and clarity — three criteria with concrete recommendations.
VoiceMock recreates the real interview experience — from the first question to the final grade.
Answer naturally, like on a real call — no typing.
Deep follow-up questions based on your answers.
No account. No lengthy setup.
Structure, depth, and clarity — with concrete feedback.
Review the entire conversation after the session ends.
The session stays in your browser. Nothing is recorded.
Pick a challenge type, set the context, and start talking. A real interview feel in 2 minutes.