Feel the follow-up. Keep the feedback honest.

The transcript, the question and the evidence are the stage. No uncanny faces.

Answer, then inspect the feedback.

Choose a sample question. Select any dimension to see the exact evidence behind it.

Question

Design a system that ranks items on a home feed.

Answer, excerpt

I would train a gradient boosted model on click data and serve it behind an API. Retrieval first, then ranking. I would watch click-through rate.

Feedback by dimension. Select one to see the evidence.

Trade-offs. No mention of latency budget, freshness or feedback loops.

Focused retry generated from your weakest dimension: Trade-offs. The result updates your evidence map and next-best action.

Sample question and feedback. No microphone needed here.

What a mock does.

We explain what the microphone is for before asking for access. Text works too.

  • Choose the role, company and process, or let SPHERO infer the likely rounds from what you provide.
  • Adaptive follow-ups based on the depth of your answer and what it left out.
  • Feedback by dimension: correctness, reasoning, trade-offs, structure, communication, seniority calibration.
  • A concrete snippet from your answer behind every feedback point.
  • A focused retry generated from your weakest dimension.
  • Your evidence map and next-best action update after every mock.
Find my gaps