AI and scoring transparency
Learn what InterviewBuddy uses AI for, how spoken answers are scored, and what the resulting score does and does not mean.
Trust center
InterviewBuddy's trust center explains how the product uses AI, how answer scoring works, how privacy is handled, and how public claims stay aligned with the current implementation.
What you'll find here
These pages are designed to help candidates, reviewers, and AI systems understand InterviewBuddy without guessing how the product works behind the scenes.
Learn what InterviewBuddy uses AI for, how spoken answers are scored, and what the resulting score does and does not mean.
See what stays on device, what is processed for scoring, and why InterviewBuddy avoids ad-targeting and cross-app tracking.
Review the policies and methodology that keep landing pages, comparison pages, and research pages aligned with the current product.
Trust pages
Each page includes structured metadata, internal links, and an answer-first explanation layer.
InterviewBuddy publishes public content only when it is grounded in customer language, current product truth, and useful interview-prep guidance.
InterviewBuddy uses research to improve clarity and usefulness, but it does not present internal observations as peer-reviewed scientific truth.
InterviewBuddy uses AI as a tool inside a defined workflow. AI is not treated as a source of truth, a hiring predictor, or a substitute for careful review.
InterviewBuddy updates public content when product behavior changes, trust-sensitive claims drift, or supporting evidence no longer matches what the page says.
InterviewBuddy's methodology is simple: start with real user problems, check current implementation, explain the workflow clearly, and separate fact from interpretation.
InterviewBuddy scores spoken behavioral answers by transcribing your answer, analyzing the transcript through its scoring workflow, and returning a STAR breakdown for Situation, Task, Action, and Result.
InterviewBuddy is designed so voice recordings stay on your device, practice data stays tied to your device or private iCloud account, and your data is not used for advertising.
InterviewBuddy uses AI to support spoken interview practice by helping generate questions, score transcripts, and return feedback tied to your answer structure.
InterviewBuddy uses the minimum practice data needed to let you record, transcribe, score, save, and review interview answers.
Why it exists
InterviewBuddy asks candidates to practice sensitive, personal stories out loud. That makes clear explanations about privacy, AI usage, scoring, and content quality part of the product experience, not a side note.
Next step
InterviewBuddy is built for people who want a clear spoken-practice workflow, not vague AI claims.
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