1
One overall judgment hides important detail
How we help: Talent Fit reviews candidates through several lenses, such as values alignment, thinking, adaptability, and delivery, so strengths and concerns are easier to separate and discuss.
Productivity Tool
AI Talent Fit
Move beyond instinct-led hiring and evaluate candidates with more structure. SigmaQu AI Talent Fit uses our LensScore™ framework to compare candidate evidence against your company context and role outcomes, helping you surface strengths, gaps, and mismatch risks before making a decision.
LensScore™ candidate benchmarkingMulti-lens evaluation0–100 fit scoringEvidence gap detectionAI follow-up questionsConsistent candidate comparison
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Benchmark candidate evidence against role outcomes, uncover gaps, and build a more consistent interview process.
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Hiring Challenges This Tool Helps Reduce
Replace vague impressions with a clearer, more evidence-led candidate review process.
2
Hiring decisions rely too heavily on gut feel
How we help: LensScore™ introduces a structured 0–100 fit view based on role-relevant evidence, making the review process more consistent and easier to explain.
3
Candidates are difficult to compare fairly
How we help: Every evaluation is grounded in the same company context and role outcomes, helping you compare applicants against a shared yardstick rather than shifting criteria.
4
Evidence gaps get missed during interviews
How we help: When proof is thin, the tool highlights insufficient evidence and generates targeted follow-up questions so the next conversation can focus on what still needs validating.
How AI Talent Fit Helps
1Create more consistent hiring reviews
2Surface role-relevant evidence
3Spot candidate gaps earlier
4Improve interview follow-up
5Support clearer team decisions
Key Features
CapabilityWhat It Delivers
1Multi-Lens Evaluation
Assess candidates across relevant fit dimensions, including Mission & Values, Thinking & Judgment, Adaptability, and Leadership.
2LensScore™ 0–100 Fit View
Get a structured fit score that helps indicate stronger alignment, workable risk areas, or higher mismatch concerns based on the evidence provided.
3Evidence-Driven Signals
The tool flags where evidence is missing or weak rather than filling gaps with assumptions, helping you investigate further before deciding.
4AI Follow-Up Question Generator
Generate specific questions to probe unclear areas, test assumptions, and explore important gaps during the next interview stage.
5Company Context & Role Outcomes
Benchmark candidates against your organisation’s mission, values, and the real outcomes the role must deliver.
6Consistent Candidate Comparison
Use the Candidates view to track applicants and compare them through the same evaluation framework, improving consistency across the shortlist.
How It Works
01
Define
Set your company context and write the role outcomes in plain English so the benchmark reflects what success actually looks like.
02
Evaluate
Add candidate evidence such as work samples, metrics, examples, and interview notes, then run LensScore™ to review alignment and gaps.
03
Compare
Use the output, follow-up questions, and Candidates view to review applicants more consistently and support a clearer hiring discussion.
Hire with More Clarity
Build a more structured candidate review process with LensScore™, evidence-led benchmarking, and sharper follow-up questions.