Candidates & Evaluations

See the whole candidate.

Bring interviews, evaluations, resume context, strengths, concerns, and open questions into one evolving understanding built from evidence.

Maya Chen candidate understanding

  • Experience
  • Evidence
  • Strengths
  • Concerns
  • Interview history
  • Role fit
  • Open questions

Search timeline

  1. 1Application
  2. 2Interviews
  3. 3Debrief
  4. 4Decision context

One candidate, every interaction

Confeti unifies recruiter, hiring manager, and interviewer learning so teams no longer reconstruct candidates from scattered notes.

Sources into one candidate view

  • Resume
  • Recruiter screen
  • Hiring manager interview
  • Technical interview
  • Debrief synthesis

Know what is strong and what is unclear

Separate validated strengths from assumptions, concerns, and unknowns so next interview steps focus on real gaps.

Signal clarity map

  • Product judgment: Strong evidence
  • Leadership: Mixed evidence
  • Technical depth: Strong evidence
  • Executive communication: Not enough evidence

Follow how evaluation evolves

Track where new evidence confirms or contradicts earlier views, making candidate assessment transparent over time.

Candidate evidence timeline

  • Application: Enterprise scale concern
  • Recruiter screen: Concern reduced
  • Hiring manager interview: Strong evidence gained
  • Technical interview: New architecture depth concern

Compare candidates in role context

Compare candidates against role criteria and evidence coverage rather than relying on artificial universal scoring.

Role-specific comparison

  • Must-have coverage
  • Strength profile differences
  • Risk areas
  • Open questions still pending

Ask Confeti

Confeti understands the context your team creates across roles, interviews, evidence, and outcomes so every question returns an actionable answer.

  • What do we actually know about Maya?
  • Where is her strongest evidence?
  • What concerns have multiple interviewers raised?
  • Where do interviewers disagree?
  • What is still unvalidated?
  • How does Maya differ from Alex for this role?

One connected hiring intelligence system

  • Roles inform interviews.
  • Interviews create candidate evidence.
  • Candidate evidence exposes process patterns.
  • Process and outcomes improve future roles.

Confeti creates a feedback loop from role definition to outcomes so each hiring cycle improves the next one.