Custom Interview Design and Scorecard Development
Purpose-built interview frameworks and scorecards for the exact role you are hiring.
What this service is
A tailored service for companies that want the interview process shaped around the exact role they are hiring for. We help define what should be tested, how deeply it should be tested, and how the interview should distinguish between adjacent roles such as AI engineer, ML engineer, data scientist, data engineer, or MLOps engineer. We also develop role-specific scorecards and evaluation criteria so candidates are measured against the real requirements of the position rather than vague interviewer impressions.
What you receive
- Role discovery session — we learn the actual job requirements, team context, and seniority expectations
- Custom interview question bank designed for the specific role and level
- Role-specific scorecard with weighted competency areas
- Evaluation criteria and anchor descriptions for each competency
- Guidance on distinguishing adjacent roles in your evaluation process
How it works
Role discovery
We learn what the role actually requires — skills, seniority, team context, and what separates strong from weak candidates.
Framework design
We build a custom interview structure and question bank calibrated to the specific role and your hiring bar.
Scorecard delivery
You receive a ready-to-use scorecard with competency areas, evaluation criteria, and anchor descriptions.
Who this is for
- Companies building a technical interview process from scratch
- Hiring teams that interview frequently and need a consistent evaluation framework
- Organizations distinguishing between adjacent roles (AI engineer vs ML engineer vs data scientist)
- Companies whose interview feedback is inconsistent, vague, or hard to act on
Roles we cover
This service covers AI, ML, and data science roles — each evaluated against domain-specific criteria, not a generic technical checklist.
AI Engineer Interviews
Expert evaluation for candidates building LLM-powered products, RAG systems, and AI-native applications
ML Engineer Interviews
Rigorous evaluation for candidates who build, train, and ship machine learning systems
Data Scientist Interviews
Structured evaluation for candidates who turn data into decisions and statistical rigor into business outcomes
Related services
Interview as a Service
Expert-led candidate evaluations — without pulling your engineers off real work.
Recurring — direct hireMonthly Retainer — End Clients
Consistent technical evaluation capacity for teams hiring AI, ML, and data talent at volume.
Add-onWritten Candidate Debriefs
Clear post-interview write-ups that make hiring decisions faster and more confident.
Ready to hire with more confidence?
Get a structured technical evaluation delivered by a practitioner who knows the domain — not a generic screener.