The Context
Sigma Labs recruits graduates, trains them, and places them with clients — with a mission rooted in social mobility: finding talented people that conventional hiring routinely overlooks. Their existing process — application, interview, technical test — relied on judging strong candidates from a handful of written answers. At volume, that was slow, inconsistent, and unsustainable.
The Goal
A process that found genuinely talented candidates traditional methods miss, without more resource per hire — built to scale to 200+ hires a year from roughly 50 applications per hire, deliver a strong candidate experience, and integrate with the company's existing tools (Airtable, Google Workspace, Slack).
What we did
Most hiring starts with vague qualities — "good problem-solver," "team player" — that can't be consistently assessed and push employers back toward lazy proxies like university or grades. We started from the evidence instead, and settled on three traits with strong research backing and no correlation to the backgrounds traditional hiring disadvantages: conscientiousness, proactivity, coachability.
Finding tools that could actually assess them took the same rigour. Most assessment providers were selling thirty-year-old tests with no real interest in fairness or candidate experience. Equalture was the exception — gamified, evidence-led, candidate experience built in from the start — and became a natural partner.
Equalture narrowed the field but not far enough for interviews. Video interviews were considered and rejected: asking candidates already worried their face or voice won't "fit" to record themselves with no feedback would have undercut the whole point. Instead we built a new assessment — instruction-following, attention to detail, curiosity, perseverance — delivered through Typeform, including two questions traditional hiring never asks: what do you wish employers knew about you but never ask, and what do you wish employers told you about themselves. The answers were consistently revealing. Feedback at every stage was non-negotiable — every candidate, hired or not, was meant to leave closer to a job than they arrived.
That narrowed the pool to structured interviews: one on communication, critical thinking and motivation; one on problem-solving and learning speed under pressure.
What changed
The shift moved Sigma Labs from achievement proxies to genuine in-the-moment assessment. The data revealed which responses predicted performance, which predicted offer acceptance, and where any demographic group was disadvantaged at a given stage — enabling ongoing improvement. Results: a tenfold rise in applications with no increase in resourcing, a trainee cohort at least 70% from low-income backgrounds, NPS scores of 48–75 across stages — and 80% of new recruits went on to exceed client expectations after training, proof the new signals actually predicted who'd succeed, not just who'd be treated fairly. The work later won Best Data Graduate Employer and Best DE&I Initiative at the DataQ Awards.
What we learned
Independent thinking is a real advantage precisely when everyone else has stopped questioning the defaults. Most experienced people work hard and want good outcomes — they're just trained to treat convention as sufficient. Starting from what actually matters, rather than industry habit, is what made this process serve its actual goal instead of just resembling one that would.
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