hoba hoba.work
A Observation (A-002)
Evidence: supported Status: active

Generic "closer alignment" rejection template

Standard automated email stating the team decided to proceed with candidates whose profiles more closely match role requirements.

Funnel Stages: screeningrecruitertechnical

Diagnostic Epistemic Posture

This observation represents an empirical signal received or experienced by a candidate. In the HOBA framework, an observation is an empirical consequence of underlying system mechanisms, not a causal proof in itself.

Recommended Diagnostic Probes

[PROBE-A-002-1] Diagnostic Probe Cost: low
Action: Compare CV keyword density with exact requirement phrases in the published job description.
Expected Signal: Reveals potential vocabulary mismatch between candidate phrasing and ATS rubric.

Compatible Mechanisms (16)

Run Diagnostic Wizard →
M-001 candidate
Genuine Technical Skill Shortfall

The candidate’s verified technical execution or domain depth does not meet the established baseline for the role level.

M-002 none
Stronger Competing Candidate in Final Cohort

Candidate cleared all passing bars, but another applicant in the same pipeline demonstrated superior domain overlap or lower onboarding overhead.

M-004 intermediary
Unstated Compensation Band Discrepancy

Candidate market rate exceeds budgeted compensation for the requisition, but salary band was never published or clarified early.

M-005 none
Pre-Selected Internal Candidate

Requisition was publicly advertised to satisfy corporate policy or legal compliance while an internal employee was already earmarked for the role.

M-008 candidate
Automated Keyword / Qualification Filter

Deterministic filter rejecting applications missing exact acronyms, certifications, or specific years-of-experience thresholds.

M-011 none
Employment Gap Downranking Bias

Automated ranking algorithms or human screeners discount candidates with recent career breaks regardless of verified project history.

M-014 intermediary
Location or Timezone Compliance Constraint

Company legal or tax entity cannot support remote employment contracts in candidate physical residency jurisdiction.

M-015 candidate
Communication or Working Style Friction

Candidate demonstrated abrasive tone, defensive reactions to critique, or inability to listen during collaborative interview problem solving.

M-017 none
Experience-Age Grading Mismatch

Candidate with 10+ years applied for mid/senior role, triggering fears of boredom, rapid churn, or salary dissatisfaction.

M-018 intermediary
Domain Specificity Over-Weighting

Interviewer requires exact vertical experience (e.g. adtech, crypto, specific payment processor) over deep transferable systems fundamentals.

M-019 none
Take-Home Evaluation Fatigue & Asymmetry

Reviewers perform hurried 5-minute scans of complex 15-hour take-home projects, missing subtle architectural patterns and tests.

M-020 none
Automated Application Expiration Timeout

ATS configuration automatically issues bulk rejections to all pending unreviewed applications after 45 or 60 days.

M-021 candidate
Reference Check Discrepancy or Regulatory Ineligibility

Third-party check reveals unverified employment dates, unconfirmed degrees, or direct conflict of interest.

M-022 none
Hiring Manager Consensus Impasse

The interview panel splits 50/50 without an executive tiebreaker, defaulting conservatively to a "no-hire" decision.

M-023 candidate
Portfolio / Work Artifact Misinterpretation

Screeners overlook candidate role architecture due to non-standard repository layout or unindexed open-source contributions.

M-024 intermediary
Inflated Requisition Requirements vs Actual Team Needs

Job description demands 10+ niche technologies and Staff-level qualifications for a straightforward feature engineering role.

What this observation does NOT establish:

  • Does not establish which specific skill was deemed insufficient.
  • Does not establish whether a human reviewer read the full resume.
Machine-readable static endpoint: /api/v1/artifacts/A-002.json