Ground the interview
Start with the role, not a generic script.
- Role and skill criteria
- Interview guides and question sets
- Custom hiring requirements
Case study / Eightfold AI
AI
Interviewer
An enterprise interview system that expands access, verifies skill, and keeps people in the decision.
Company
Eightfold AIRole
Director, UX DesignDuration
2025–ongoingScope
Enterprise hiring01 / The capacity gap
Give every qualified candidate a fair shot.
Hiring teams are expected to screen more candidates, move faster, and maintain a consistent bar—often with the same team. The conventional first screen makes recruiter capacity the bottleneck, leaving strong applicants waiting or unseen.
I led the experience direction for AI Interviewer: a role-aware, multi-turn interview experience that can run at scale while producing a structured record recruiters can review and act on. The ambition was not to replace judgment. It was to make a high-quality first interview available to far more people, without lowering the bar.
02 / Product premise
Scale the interview,
not the uncertainty.
Every interaction had to turn a live conversation into evidence that a recruiter could understand, question, and use.
Return decision-ready evidence
Let people make the call with context.
- Structured transcripts and scorecards
- Competency-level signals
- Human review and follow-up
03 / What we built
Interviews grounded in what the role demands
We connected interview guides, skills, and evaluation criteria to the role itself. A centrally managed interview library helped teams begin with stronger defaults while keeping the criteria adaptable to their hiring context.
A conversation that can probe, not just prompt
AI Interviewer was designed for natural, multi-turn conversations. It could ask role-specific follow-ups, respond to a candidate’s answer, and assess demonstrated reasoning—not simply capture responses to a fixed list of questions.
Signals a recruiter can stand behind
The output was designed as a structured hiring record: transcript, scorecard, competency evidence, and a clear path back to the interview. This made the system useful in a real workflow, not just impressive in a demo.
04 / One system, many interview moments
A common standard across every way a candidate can show what they know.
01
Profile screening
Assess fit, interest, and role requirements through an always-on interview experience.02
Functional interviews
Explore problem-solving, communication, leadership, and role-specific competency through scenarios and case studies.03
Coding & whiteboarding
Evaluate the reasoning behind a solution with adaptive technical follow-ups—not only its final output.04
Language fluency
Bring CEFR-based language assessment into the interview so global teams can evaluate consistently.05 / Designed for adoption, not novelty
Enterprise trust is a product experience.
For AI Interviewer to work in a high-stakes hiring process, its experience had to account for fairness, privacy, integrity, and the systems teams already use—not treat them as a later implementation detail.
Human oversight
AI supports the process; recruiters retain the context and authority to review, decide, and handle exceptions.
Integrity by design
Identity verification and reviewable interview-integrity signals help teams establish confidence at scale.
Built into the workflow
Flexible deployment paths—from ATS-connected hiring stages to standalone use—made the system practical to adopt.
06 / What this enables
More access. Better evidence. Less manual drag.
faster time to fill in the product’s target hiring workflow.
to complete an interview in production results shared with the field.
languages supported for consistent, global interview delivery.
interview-integrity signals available to help recruiters review suspicious activity.
07 / In motion
See AI Interviewer in action.
From setting the brief to making a confident decision, these product moments show how AI Interviewer keeps every step of hiring clear, human, and in motion.
01 / Recruiter experience
From requisition to interview-ready02 / Candidate experience
A guided, candidate-first interview08 / Outcomes in use
A faster path to a confident decision.
AI interview invites sent across enterprise hiring pipelines.
saved per recruiter, per week through streamlined screening and evaluation.
completion rate for graduated automation workflows in live deployments.
candidate satisfaction across more than 31,000 completed screening sessions.
My contribution
I set the experience direction and led a multi-disciplinary design team across the recruiter and candidate journey—from product strategy and interaction patterns to the trust model that connected them. I also stayed hands-on across key use cases, shaping the workflows and interactions that brought the product to life.
Confidentiality
A note on the work shown.
This case study shares a high-level view of confidential work completed under NDA. Detailed flows, product screens, research, and further outcomes are not displayed here.
If you’d like to explore the work in more detail, please get in touch to arrange a conversation.
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