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Woven

Woven Teams provides human-powered technical assessments that simulate real engineering work to evaluate candidate coding skill accurately. These role-specific assessments cover areas like code review, debugging, and system design, ensuring the candidate's genuine ability is identified. The platform reduces interview time significantly while providing AI and plagiarism detection to streamline the hiring of experienced engineers.

Indianapolis, United StatesFounded 20184410K+ followers
Updated 20 months ago

Funding

$10.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Hiring experienced software engineers is challenging because traditional methods often fail to accurately assess real-world technical skills beyond basic programming knowledge. This leads to wasted interview time and a higher risk of mis-hires, impacting team productivity and project success.

Solution

Woven provides human-powered technical assessments designed to evaluate engineering skills in realistic scenarios, including code review, debugging, system design, and technical collaboration. These assessments are tailored to senior-level roles and benchmarked against industry pay bands or the client's current team. By focusing on practical skills and providing detailed candidate feedback, Woven helps companies streamline their technical vetting process, reduce interview time, and increase the success rate of hires. The platform also incorporates plagiarism and ChatGPT detection to ensure the integrity of the assessment process.

Target Audience

Woven's primary customers are engineering teams and hiring managers at companies seeking to hire experienced software engineers for senior-level positions.

Features

  • Assessments calibrated to specific senior-level engineering roles
  • Scenarios covering skills like code review, system design, debugging, and technical collaboration
  • Double-blind scoring by two certified engineers using a detailed rubric
  • Async Proctoring to detect plagiarism and ChatGPT use
  • Detailed analysis of each candidate's technical strengths and weaknesses
  • Benchmarking against industry pay bands or the client's current team
  • Engaging, time-boxed sessions to showcase candidate skills
  • Detailed technical feedback for every candidate
This profile is AI-generated and may contain inaccuracies.