Fragmented Interview Tooling
Coding exercises, video calls and feedback forms lived in separate tools, making it hard to reconstruct how a decision was reached.
Technical hiring teams often run live coding interviews through a patchwork of shared documents, generic video calls and scattered feedback emails, making it hard to compare candidates consistently. This MVP brought live coding sessions, problem sets and evaluator scoring into one connected workflow purpose-built for engineering interviews.
A technical interview is only as useful as the record it leaves behind. When evaluators submit feedback in different formats, at different times, on different scales, comparing candidates fairly becomes guesswork rather than a decision hiring teams can defend.
This MVP centered on giving interviewers a live coding environment paired with a structured problem library and a consistent scoring rubric, so every technical interview produces comparable, defensible evaluation data.
Coding exercises, video calls and feedback forms lived in separate tools, making it hard to reconstruct how a decision was reached.
Without a shared rubric, one interviewer's "strong hire" meant something different from another's, undermining hiring-panel confidence.
Ad hoc problem selection led to some candidates facing questions that had already circulated informally among applicants.
Technical Interview Platform centered on the real workflows behind technical interviews.
Interviewers and candidates share a real-time coding environment, keeping the technical conversation and the code in one view.
Hiring teams organize problems by difficulty and skill area, so interviewers spend less time preparing and more time evaluating.
Every interviewer scores against the same rubric criteria, giving hiring panels a defensible, comparable record.
Recruiters assign interviewers and problems to each slot without manual back-and-forth over email.
Hiring managers can review how a candidate approached a problem after the interview, not just the final score.
Recruiters compare all candidates for a role side by side using consistent scoring data instead of memory.
We mapped how engineering teams currently ran technical interviews and where scoring broke down.
We defined a rubric structure flexible enough for different roles but consistent enough to compare across candidates.
Engineering delivered the live, shared coding workspace at the center of the interview experience.
We wired panel assignment, problem selection and scorecards into a single interview record.
The MVP launched for real interview loops, ready to be refined against actual hiring-panel usage.
A technical interview is only as good as the record it leaves. Standardize the rubric, and the decision defends itself.
Problems, sessions, scorecards and candidates are modeled distinctly, keeping evaluation history clean and queryable.
Interviewers, hiring managers and recruiters each see the tools and data relevant to their part of the process.
The core interview and scoring workflow is exposed through APIs, supporting future integration with an ATS.
The live coding environment was engineered to keep sessions stable through an entire interview, not just a demo.
× Interview tools scattered across platforms
× No consistent evaluator rubric
× Ad hoc, sometimes repeated problems
× Hard to compare candidates fairly
× No reliable interview record for hiring panels
✓ One connected interview and scoring workflow
✓ A shared rubric across all evaluators
✓ A structured, reusable problem library
✓ Side-by-side candidate comparison
✓ A defensible record behind every decision
Same rubric. Same problems. A decision every hiring panel can stand behind.
Technical hiring decisions carry real weight, and they should hold up to scrutiny. This MVP gave engineering hiring teams a single place to run live coding interviews, draw from a shared problem library and score every candidate against the same criteria.
“A technical interview is a data-collection exercise before it is a conversation. Standardize how that data is captured, and confidence in the hiring decision follows naturally.
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