What matters most
- Product claims are checked against the current app and technical docs.
- Customer language is preferred over generic AI or SaaS wording.
- Answer-first structure matters because readers and AI systems both need clarity fast.
Public content standards
Editorial Policy
Last updated: July 1, 2026
Short answer: InterviewBuddy publishes public content only when it is grounded in customer language, current product truth, and useful interview-prep guidance.
Why this page exists
This page is part of InterviewBuddy's public trust layer. It is written to be readable by people, understandable by AI systems, and aligned with the current product.
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What this policy means
InterviewBuddy's public pages are written to help candidates practice better, not to impress people with vague AI language. If a sentence could describe almost any interview app, it does not meet the standard.
Every publishable page should explain a real interview-prep problem in plain language, tie the explanation back to how InterviewBuddy actually works, and avoid promising outcomes the product cannot support today.
What must be true before we publish
- The page reflects the current product behavior, not a future roadmap.
- The framing matches InterviewBuddy's positioning around spoken behavioral interview practice.
- The language sounds like customer reality, including freezing, rambling, overexplaining, and not knowing whether an answer is ready.
- The opening gives a direct answer before adding detail.
- Claims about AI, scoring, privacy, or data handling align with the app and legal pages.
What we deliberately avoid
- Generic statements like 'ace your interview' without explaining how.
- Claims that AI understands a candidate perfectly or predicts hiring outcomes.
- Overwritten brand language that hides the actual problem a candidate is trying to solve.
- Comparison copy that attacks other tools instead of fairly describing tradeoffs.
How this helps readers and AI systems
A clear editorial policy makes InterviewBuddy easier to trust because readers can see the standards behind the page. It also improves AI retrieval because pages use direct definitions, concrete claims, and stable product language instead of fluffy marketing phrasing.
Related resources
Where to go next
These pages expand, verify, or support the explanation on this page.
FAQ
Common questions
These answers are written to be readable by people and directly understandable by search and AI systems.
Does InterviewBuddy allow generic AI-written content to publish as-is?
No. AI can help with drafting or structure, but public content still has to be checked for product truth, research fidelity, and customer-language fit before it is published.
Why does InterviewBuddy avoid generic interview-app wording?
Because vague SaaS phrasing hides the real user problem. InterviewBuddy is built for candidates who know what they want to say but struggle to say it clearly out loud under pressure.
How does this editorial policy connect to trust?
It shows that public claims are constrained by real product behavior, not by hype. That matters on landing pages, comparison pages, research pages, and support content.
Next step
Practice spoken interview answers in InterviewBuddy
InterviewBuddy is built for spoken behavioral interview practice, not passive reading alone.
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