Fictional product demonstration

An evidence-backed ATS match report, explained

This fixed example uses a fictional candidate and job description. It shows how ATSTune separates a score, located text evidence, missing evidence, and AI-assisted wording that still requires the candidate’s confirmation.

No real personNo uploaded resumeNo live AI result
62out of 100

Evidence gaps found

Useful as a baseline, not an employer pass score.

Fictional candidate

Jordan Lee

Target: Product Manager

Job match24/35
Skills alignment14/25
Experience relevance11/20
ATS compatibility10/15
Resume quality3/5

What the number says

The resume supports part of the role, but important product experimentation and measurable outcome evidence is missing.

What it does not say

It does not predict an interview, reproduce an employer’s ATS configuration, or certify that the candidate is qualified.

Best next action

Connect the highest-priority requirements to truthful experience before adding more standalone keywords.

Located evidence

Matched keywords with a source

Product roadmapMatched

Experience · Product Analyst

“Partnered with product and engineering to prioritize a six-month roadmap for the onboarding journey.”
SQLMatched

Skills and Experience

“Used SQL to investigate activation drop-off and define the weekly funnel review.”
User researchMatched

Projects · Activation discovery

“Synthesized 12 customer interviews into three onboarding opportunities for the product team.”

Evidence gaps

A term alone may not prove experience

Experiment designMissing

The target job asks for experiment design, but the resume does not describe a hypothesis, test, decision, or measured result.

Next step: Add a real experiment with the decision and outcome, or leave the requirement as a gap.

A/B testingEvidence weak

“A/B testing” appears in the skills list, but no experience or project bullet shows how it was applied.

Next step: Connect the skill to a truthful project instead of repeating the keyword.

Business impactMissing

Recent work describes activities but does not state a verifiable change in adoption, revenue, cost, speed, or quality.

Next step: Add an accurate outcome if one is known; do not invent a metric.

AI fact verification

Suggested wording is not automatically a verified fact

Suppose an optimization draft adds the sentence below because roadmap leadership is important to the target job. The source resume does not explicitly support the full claim, so the item remains pending.

Pending statement

“Led quarterly roadmap planning across product and engineering teams.”

Review question: Did you personally lead this planning cycle, and which teams participated?

Confirm

The candidate confirms that the statement reflects real experience.

Edit

The candidate revises the wording to match what actually happened.

Remove

The unsupported statement is deleted or marked not applicable.

Export blocked: the resume cannot be exported while this item remains pending. The candidate must confirm, edit, or remove it and then make a separate overall accuracy confirmation.

Evidence before confidence

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