Interview Question Bank Builder from Past Job Description Patterns
Why This is an Opportunity
The connection between job description language and actual interview questions is well-established in career coaching but no simple tool automates it. This needs a keyword-to-question mapping system — a curated database of common JD phrases linked to likely interview questions. User pastes JD, the app extracts key phrases, matches them to question templates, and presents an organized prep worksheet. Simple text processing plus a seeded question database. CRUD for saving drafted answers.
Key Pain Points
- •Generic interview prep resources aren't tailored to the specific role, leading to under-preparation on the questions that actually come up
- •Candidates miss the signals embedded in job descriptions about what competencies will be assessed
- •No structured place to write, revise, and store STAR-method answers linked to specific roles
- •Preparing for each interview from scratch rather than building on a growing personal question-and-answer library
- •Career coaches charge $100+/hour to do exactly this analysis manually — mapping JD language to likely questions
Original Discovery
When preparing for interviews, candidates Google generic questions and hope for the best. But job descriptions contain specific signals about what interviewers will ask — phrases like 'cross-functional collaboration' or 'data-driven decision making' map directly to behavioral questions. A web app where you paste a job description and it generates a tailored bank of likely interview questions organized by category (behavioral, technical, situational), with space to draft and save your STAR-method answers, would turn passive prep into structured rehearsal.
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