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What is Aspect?

Aspect is an AI-powered platform that automatically captures and summarises interview notes for recruiters. During interviews, it generates detailed summaries, identifies key candidate responses, and drafts scorecards without requiring manual note-taking. The tool integrates with major Applicant Tracking Systems (ATS) and supports over 200 languages, making it useful for teams working across different regions. The platform targets hiring teams looking to reduce administrative work during the interview process. Rather than having interviewers write notes afterwards, Aspect produces these automatically, allowing recruiters to focus on conversation quality. It also offers features like structured feedback templates and interview coaching suggestions to help interviewers conduct more consistent assessments. Available on a freemium model, Aspect suits both small hiring teams testing the tool and larger organisations processing high interview volumes.

Key Features

Automatic interview summaries

AI generates notes and key points from interviews without manual transcription

Scorecard drafting

Automatically creates interview evaluation scorecards based on candidate responses

ATS integration

Connects with leading applicant tracking systems to sync candidate data and notes

Multi-language support

Handles interviews conducted in over 200 languages

Interview coaching

Provides real-time suggestions and feedback to improve interviewer consistency

Customisable feedback templates

Allows teams to structure evaluation criteria to match hiring standards

Pros & Cons

Advantages

  • Reduces time spent on post-interview admin work, letting interviewers concentrate on actual conversations
  • Broad language support makes it practical for global hiring teams
  • Integrates directly with existing ATS workflows rather than requiring separate tools
  • Freemium model lets teams try the core functionality before committing to paid plans

Limitations

  • Relies on accurate audio capture during interviews, so technical issues or poor sound quality can affect summary quality
  • Automated summaries may miss context or nuance that experienced recruiters would catch manually
  • Specific pricing tiers and feature limits for free versus paid plans are not clearly documented

Use Cases

High-volume recruitment teams handling dozens of interviews weekly and needing faster note completion

Distributed hiring teams across multiple time zones who need standardised evaluation records

Organisations conducting interviews in multiple languages who want consistent documentation

Recruitment agencies managing candidate pipelines across different clients and roles

Companies implementing structured interview processes and wanting to enforce consistent scorecard completion