# Leader-board/OA-and-Interviews

The guide to online assessments and interviews

Repository: https://github.com/Leader-board/OA-and-Interviews
Canonical: https://ross.abutalabs.com/products/oa-and-interviews
License Family: other
Last push: 2026-04-17T05:39:05+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 77, release rhythm 35, longevity 100
- inputs: {"age_days": 1743, "days_push": 138, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2551, forks 184 (observed 2026-08-28T04:07:00.476949+00:00)

## What it is
A community-maintained guide to online assessments and technical interviews, including how to request feedback via GDPR and detailed company application experiences. It is a curated knowledge repository rather than software.

## Use cases
- prepare for online assessments at tech companies
- learn how to request interview feedback using GDPR
- read real application and interview experiences by company and year
- find a guide before applying to graduate tech roles
- understand what to expect in hiring processes

## When to choose
- you want first-hand, detailed accounts of company hiring processes
- you are preparing for online assessments and want practical guidance
- you want to contribute your own interview experience to a central resource

## When to avoid
- you need interactive practice tools or mock interview software
- you need openly licensed content you can fork or redistribute
- you want structured courses with exercises rather than a written guide

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: education, tutorials, developer-tools
- platform: -
- tags: interview-preparation, online-assessments, career-guide, gdpr, hiring, web-server

## Member repositories
- Leader-board/OA-and-Interviews (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:00.476949+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:23:49.794751+00:00, confidence not recorded.
  - readme: https://github.com/Leader-board/OA-and-Interviews (fetched 2026-08-28T04:07:00.476949+00:00, sha c3f9da951d72)
- Data as of 2026-08-30T08:39:29.467469+00:00.