# Job Search Science — Full Description

> AI-powered interview preparation and career coaching platform at https://jobsearch.science

## Concept

Job Search Science (JSS) turns job hunting into a measurable, repeatable process. Instead of a generic chatbot, it runs a **structured coaching journey**: a sequence of dedicated commands, each with prerequisites, its own prompt, its own deliverable, and a score.

A user can run several **journeys** at once — one per target role, company, or industry. Each journey keeps completely isolated state: CV version, STAR story bank, score history, research notes, and progress. Nothing crosses between journeys.

## The four phases

### Phase 1 — Foundation
Establish who the candidate is and where they are aiming.

- **kickoff** — five-step wizard: target role, industry and company, communication style, background, review. Parses an uploaded CV.
- **decode** — decode a job description into required competencies, hidden signals, and gaps.
- **resume** — analyse and reposition the CV against the target role.
- **research** — real-time web research on the company, role, market, and interviewers. Results are injected as grounded facts into later sessions.
- **concerns** — surface the candidate's own doubts and convert them into a preparation agenda.

### Phase 2 — Narrative
Build the material the candidate will actually say out loud.

- **stories** — build STAR stories interactively. Extracted and persisted to the journey's story bank so every later command can reuse them.
- **pitch** — craft the 30-second introduction ("tell me about yourself").
- **strengths** — articulate strengths with evidence.
- **weaknesses** — frame development areas honestly and constructively.
- **motivation** — why this role, why this company, why now.
- **gaps** — address experience gaps and career breaks.

### Phase 3 — Performance
Rehearse under realistic conditions.

- **practice** — targeted drills on a single competency.
- **mock** — full multi-turn mock interview (four questions), voice or text, scored at the end.
- **behavioral** — behavioural-question rounds driven by the story bank.
- **technical** — role-specific technical or case questioning.
- **panel** — multi-interviewer simulation.
- **followup** — handling follow-up and probing questions.
- **feedback** — structured review of a past session or a real interview.

### Phase 4 — Close
Convert interviews into offers.

- **prep** — final pre-interview briefing assembled from everything in the journey.
- **questions** — questions the candidate should ask the interviewer.
- **negotiate** — salary and package negotiation rehearsal with market data.
- **offer** — evaluate and compare offers.
- **thankyou** — post-interview follow-up messages.
- **retro** — retrospective after a result, feeding the next journey.

## Scoring

Every completed session is scored on five dimensions:

1. **Communication** — clarity, pacing, conciseness.
2. **Structure** — logical organisation of answers.
3. **Impact** — concrete results and quantification.
4. **Confidence** — conviction and presence.
5. **Role Fit** — alignment with the target role.

Scores accumulate per journey and are visualised as a trend line and a radar profile on the progress dashboard, plus a visual roadmap showing completed, available, and locked steps.

## Career Social Kit

A separate generator producing ready-to-use assets tailored to the target role:

- LinkedIn headline
- LinkedIn About section
- 30-second elevator pitch
- Cold outreach messages (recruiter, hiring manager, referral)
- Post-interview thank-you templates

Each section can be regenerated independently. Kits are saved and versioned.

## Prerequisites

Commands are gated. A step is locked until its dependencies are complete, and locked steps explicitly list what is missing. For example, `prep` requires a completed story bank; `negotiate` requires salary research. This prevents shallow output from missing context.

## Credits

Usage runs on credits. New users receive free credits at signup. Each coaching action consumes credits, deducted when the session is unlocked. Additional credits are earned through referrals or purchased. A full ledger of every debit and credit is visible in settings.

## Privacy and data handling

- CVs, transcripts, and personal data are encrypted and isolated per tenant.
- Raw CVs, job descriptions, and voice transcriptions are never written to logs — only non-identifying metadata.
- Users can export or hard-delete their entire account and all associated data at any time, with cascade deletion.
- Multi-tenant workspaces support team use with role-based access control.

## FAQ

**Is Job Search Science free?**
You get free credits on signup. Each AI coaching action consumes credits. You can earn more through referrals or purchase additional credits.

**What AI models power the coaching?**
Multiple AI providers are used, with the model selected based on your plan. The coaching methodology comes from the open-source Interview Coach skill pack.

**Is my data safe?**
Yes. Your CV, transcripts, and personal data are encrypted and isolated per tenant. You can export or delete your data at any time.

**Can I use this with my team?**
Yes. Job Search Science supports multi-tenant workspaces. Invite team members to collaborate on interview prep.

**What is the Career Social Kit?**
A set of AI-generated assets: LinkedIn headline, About section, 30-second pitch, outreach messages, and thank-you templates — all tailored to your target role.

## Attribution

The coaching methodology derives from Noam Segal's MIT-licensed Interview Coach skill pack. Full attribution at https://jobsearch.science/attribution

## Links

- Home: https://jobsearch.science/
- Sign in: https://jobsearch.science/login
- Attribution: https://jobsearch.science/attribution
- Terms: https://jobsearch.science/terms
- Privacy: https://jobsearch.science/privacy
- Short summary for agents: https://jobsearch.science/llms.txt