Skip to main content
Blind review mode anonymizes candidate identities during evaluation to promote fair, unbiased hiring decisions.

What is blind review mode?

Blind review mode replaces candidate names with anonymous identifiers throughout your dashboard. This allows you to focus on objective metrics and qualifications without being influenced by:
  • Names that may indicate gender, ethnicity, or nationality
  • Unconscious associations with certain names
  • Personal connections or prior knowledge of candidates
Research shows blind hiring can increase diversity and reduce bias in candidate selection by up to 40%.

Enable blind review mode

Toggle blind review mode on or off at any time:
1

Locate the Blind Mode toggle

In the top-right area of your Company Dashboard, find the Blind Mode button next to your job selection dropdown.
2

Click the toggle

Click the Blind Mode button to enable anonymous review. The button will:
  • Change to a blue/primary color
  • Display an eye-slash icon
  • Show a shadow effect to indicate active state
3

Review anonymized results

The evaluation results table will update immediately to show anonymized candidate identifiers instead of names.
To disable blind mode, simply click the Blind Mode button again. It will return to its default styling and candidate names will reappear.

How it works

Anonymized identifiers

When blind mode is enabled, candidates are displayed as:
Candidate CAND-1234
The identifier is derived from the candidate’s unique ID in the system and remains consistent across sessions. This allows you to:
  • Track individual candidates without knowing their identity
  • Compare candidates across multiple reviews
  • Export results with consistent anonymization

What gets anonymized

Blind mode hides:
Candidate names in the results table
Names in all charts and visualizations
Names in the search/filter bar
Names in candidate detail views

What remains visible

Blind mode still displays:
All evaluation scores (Skill, GitHub, Interview, etc.)
Final scores and rankings
Risk levels and recommendations
Strengths and weaknesses
Candidate ID (beneath the name when blind mode is off)
Technical information like skills, projects, and GitHub activity remain visible since they are objective qualifications necessary for evaluation.

Search and filter in blind mode

The search functionality adapts to blind review mode:
  • Blind mode OFF: Search by candidate name
  • Blind mode ON: Search by candidate ID (e.g., “CAND-1234”)
The search placeholder text updates automatically to indicate which field you can search.

Visual analytics in blind mode

All charts and graphs automatically update to use anonymous identifiers:
  • Final Score Leaderboard: X-axis shows “Candidate CAND-XXXX” labels
  • Skill Match Breakdown: Bars labeled with candidate IDs
  • GitHub Activity: Anonymous identifiers on all data points
This ensures consistency across your entire dashboard when blind mode is active.

Best practices for blind review

When to enable blind mode

Consider enabling blind mode:
  • During initial screening - Remove name bias when first reviewing evaluation results
  • For shortlist creation - Focus purely on metrics when selecting top candidates
  • In committee reviews - Share anonymized results with hiring team members
  • For compliance - Meet diversity and inclusion requirements in your hiring process

When to disable blind mode

You may want to disable blind mode:
  • After shortlisting - When scheduling interviews with selected candidates
  • For personal outreach - When contacting candidates about next steps
  • During reference checks - When you need to match candidates to their applications
  • For final documentation - When generating offer letters or hire reports
Remember that blind review mode is a tool to reduce bias, not eliminate all human judgment. Always combine blind review with structured evaluation criteria and diverse hiring panels.

Maintaining anonymity

To preserve the benefits of blind review:
  1. Avoid cross-referencing - Don’t look up candidate names in your application system while in blind mode
  2. Share anonymized reports - Export or screenshot blind mode results when sharing with stakeholders
  3. Delay name reveal - Keep blind mode on until you’ve completed initial scoring and ranking
  4. Document decisions - Note the candidate ID when making decisions in blind mode

Exporting blind review results

When exporting evaluation data with blind mode enabled:
  • Results tables include anonymized identifiers
  • Charts use candidate IDs on all axes
  • Rank and score data remain intact
Take screenshots of your blind mode dashboard to share anonymous results with hiring managers or interview panels.

Next steps

Running evaluations

Learn how AI scoring works

Managing candidates

Add more candidates to your pipeline

Build docs developers (and LLMs) love