interview-coach

Data-driven interview coaching normalizes transcripts from Otter, Zoom, and Grain, then scores responses across Substance, Structure, Relevance, Credibility, and Differentiation to pinpoint weak areas. This structured analysis adapts to individual patterns to drive measurable improvement.

Yes, interview coaching supports multi-role coverage including PM, Engineering, Design, Data Science, Research, Marketing, and Operations. It adapts practice drills and story mapping to fit your specific target role and timeline.

You calibrate interview practice by applying persistent coaching state and transcript processing to align your story mapping with real-world outcomes. This calibration adjusts your storybank rewrites to target weak areas based on actual results.

Cross-surface integration maps your storybank across resume, LinkedIn, outreach, and JD decoding workflows. This builds a cohesive personal narrative by ensuring your earned secrets and stories align consistently across all job-search surfaces.

To start interview coaching, rename SKILL.md to CLAUDE.md and say kickoff. This initiates a structured, adaptive coaching workflow that leverages transcript analysis and story mapping for your targeted role.

Yes, storybank management features rapid retrieval drills and targeted rewrites to strengthen weak areas. It organizes your earned secrets for quick recall and maps them to relevant interview questions.