InterviewPrep AI

For a 60-minute VA design-build shortlist on a $45M Phase 2 medical-center addition in Reno, InterviewPrep AI produces 30 predicted questions weighted against the VA's published evaluation factors — Technical Approach 30%, Past Performance 25%, Team 20%, Management Plan 15%, Price 10% — so the panelist most likely to ask each question is paired with the talking points that score highest against that factor weight. The 8-section package contains: (1) the weighted question bank, (2) model answers anchored to specific project metrics from your past performance list, (3) STAR-method past performance narratives, (4) panelist role map assigning Jane Smith / Mike Johnson / Carol Williams to their best-fit questions, (5) differentiator cheat sheet against likely incumbents, (6) objection-handling scripts for the four weak-spot topics you flagged, (7) one-page site walkthrough talking points, and (8) a readiness score self-assessment covering each team's confidence per evaluation factor before walk-in.

The agent expects five minimum blocks: (1) the opportunity name, client, project type, delivery method, and interview format (60-min shortlist, 90-min panel, 30-min Q&A, or site walkthrough); (2) the owner's published evaluation criteria with explicit weights, not a generic list; (3) the owner's stated priorities and known pain points (budget certainty, schedule, past contractor experience, technical risk); (4) team vulnerabilities the owner is likely to probe (less-direct experience, newer staff on the panel, price premium, incumbent advantage); and (5) the firm-side inputs — qualifications summary, named presenting team members with title, years of experience, and relevance to this specific project, plus past performance rows with measurable outcomes. Optional references that sharpen the output: a ProposalAssembly run ID (so the prep pulls from your proposal win themes via WinStrategy AI), and any oral-interview scoring rubric the owner has released.

The eight sections are: (1) Question Bank with per-question probability rating tagged to the matching evaluation factor; (2) Model Answers written in your firm's voice and anchored to specific project metrics from your past performance (e.g. "delivered 2 weeks early, 2% under budget, zero lost-time incidents on the $28M Denver City Hospital renovation"); (3) Past Performance Narratives using STAR method scoped to the four or five projects most likely to come up; (4) Panelist Role Map — assigns each named presenter to the questions they should answer with talking points aligned to the win themes from WinStrategy AI; (5) Differentiator Cheat Sheet — one-page comparison vs. the incumbents or other shortlisted firms based on stated strengths; (6) Objection-Handling Scripts — pre-written responses for the four weak-spot topics your BD director flagged; (7) Site Walkthrough Prep — talking points ordered by building sequence if a site tour is part of the format; (8) Readiness Score Self-Assessment — a 0–100 checklist each team member completes per evaluation factor the night before.

Yes — that is one of the main reasons capture managers pull this package. The Panelist Role Map section assigns each named presenter (your Project Executive, your PE, your CCM) to the specific evaluation factors and questions they should own, with talking points calibrated to the win themes from WinStrategy AI. Distribute individual sections to each panelist the morning before, run a timed mock against the question bank, and capture the questions the panel actually asked on interview day. Those notes feed directly into DebriefHarvest AI (#23) for post-interview lessons write-back — what landed, what missed, which past performance narratives converted, where the weak spots surfaced — so the next interview prep package starts from real scored answers instead of fresh speculation.