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Case study / Eightfold AI

Interview
Feedback

Turning scattered interview notes into structured evidence for better hiring decisions.

Company

Eightfold AI

Role

UX / UI Design

Duration

6 months / 2022

Scope

Talent acquisition

Great interviews were producing weak signals.

Hiring decisions depended on interview feedback, but that feedback lived in email threads, spreadsheets, recruiter notes, and disconnected forms. Teams could not consistently request it, collect it, compare it, or act on it.

I designed an end-to-end feedback system for Eightfold Talent Acquisition: a connected experience spanning form creation, feedback requests, feedback completion, candidate review, and team-level follow-up.

Feedback was a workflow problem, not just a form problem.

We conducted 12 one-to-one customer interviews across six organisations with recruiters, hiring managers, interviewers, and TA administrators.

01

Forms existed, but rarely got used

Customers relied on generic documents, email replies, and incomplete notes because the experience was not part of their hiring workflow.

02

Every role needed a different lens

Teams evaluated knowledge, skills, qualities, and role-specific competencies differently, yet the existing product offered one limited form.

03

Feedback arrived too late

Recruiters had no central way to see what was pending or follow up, creating slow decisions and the risk of losing strong candidates.

Customer interviews revealed an inconsistent, largely manual feedback process—alongside a clear need for role-specific forms, reliable reminders, and a consolidated view of feedback.

Research findings from customer interviews for Interview Feedback
Research synthesis from 12 interviews across recruiters, hiring managers, interviewers, and TA administrators.

One feedback system, six connected moments.

The solution could not be a standalone form. It had to support the whole feedback lifecycle and meet each role where their work already happened.

  1. 01 Form library
  2. 02 Feedback form
  3. 03 Request feedback
  4. 04 Fill feedback
  5. 05 Candidate feedback
  6. 06 Feedback center

The ecosystem connected creation, requesting, completion, review, and follow-through—so feedback became part of the hiring workflow rather than an isolated administrative task.

Interview Feedback ecosystem design showing six connected experiences
The design blueprint used to align the product, engineering, and design teams around the full feedback lifecycle.

Feedback could be requested within interview scheduling or independently. Recruiters saw the request status at candidate level, while interviewers could act directly from a focused feedback workspace.

Recruiter workflow for requesting interview feedback
Request feedback: choose the form, recipients, and reminder cadence.
Candidate feedback review screen
Candidate feedback: see all interview feedback, outstanding requests, ratings, and next actions together.
Feedback Center dashboard for interviewers and recruiters
Feedback Center: separate interviewer and recruiter views brought pending, complete, sent, and archived feedback into one manageable queue.

Feedback that was built with the hiring team, not handed to them.

Customer reviews validated that the system covered the breadth of the hiring workflow. The next iteration focused on refinements customers asked for: pre-linking forms to positions, skill suggestions based on calibration, automated reminders, completion analytics, candidate comparison for debriefs, and workflow automation based on feedback.

“Loved the flow. It covers all aspects of our hiring workflow.” — Recruiter feedback from customer validation

The early product signal was clear: existing customers volunteered as pilot users, feedback requests scaled quickly after launch, and the capability became a differentiator in new customer conversations.

Launch impact metrics for Interview Feedback
Launch metrics captured in the project deck: pilot adoption, feedback request volume, completion rate, and customer impact.

A feedback loop that customers adopted.

Metrics below reflect the first three months after launch.

6

existing customers joined as pilot users before general availability.

33K+

feedback requests sent in the first three months after launch.

40%+

weekly feedback completion rate, with adoption growing week by week.

4

new customers cited the product as a major reason for coming onboard.

I owned the UX and UI design across research, workflow definition, user flows, wireframes, validation, and final product design. I worked closely with product and engineering to turn a missing capability into a coherent feedback ecosystem for recruiters, interviewers, hiring managers, and TA administrators.

AI Interviewer