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HireAI produced the ranking below. The scores are hardcoded and deliberately flawed. A number is an output—not evidence that the result is valid.
Ask: accurate for whom, on which candidates, in what context, and with what consequence when it is wrong?
High keyword overlap with product analyst, Jira, roadmap, KPI reporting and user story terms. Degree and direct title match increase the score.
Moderate match: customer insight and Excel are recognised, but missing direct product analyst title, degree and extensive Jira/product vocabulary lower the score.
Some transferable requirements evidence is recognised, but lack of degree, product analyst title and modern product-tool keywords suppress the score.
Lower confidence due to unfamiliar education, non-UK employer names and fewer exact matches to UK product analyst phrasing.
The system recognises Excel and internal tools but heavily discounts the profile because it lacks formal titles, degree and product vocabulary.
Employment gap and lack of recent product analyst title reduce the score despite relevant coordination, evidence tracking and stakeholder experience.
Low score due to non-standard CV structure, limited recognised employer history and weak exact keyword extraction from portfolio-style evidence.
Challenge the assumptions, missing evidence and possible proxy signals. Identify any result you would investigate first, and explain why confidence is not the same as trust.
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