Whether you're evaluating interview software or implementing interview intelligence in your organization, this focused glossary covers the key terminology you need to understand modern data-driven hiring.
A data-driven approach to hiring that uses technology to systematically capture, analyze, and derive insights from interview conversations. Interview intelligence goes beyond basic recording by applying AI and analytics to identify patterns, assess competencies objectively, reduce bias, and continuously improve hiring outcomes through measurable feedback loops.
Technology platforms that facilitate the recording and management of candidate interviews. While basic interview software may offer video conferencing, recording, and scheduling capabilities, interview intelligence platforms represent an advanced category that adds AI-powered analysis, automated insights, bias reduction features, and performance tracking that transforms raw interview data into strategic hiring intelligence.
The automatic capture of video or audio from candidate interviews within interview software, creating a permanent record that can be reviewed, shared, and analyzed by hiring teams. Recording enables quality assurance, training opportunities, and eliminates reliance on interviewer memory.
The process of converting spoken interview content into searchable written text, typically automated through AI-powered speech recognition within interview intelligence platforms. Transcription enables quick review, keyword searching, and detailed analysis without re-watching entire interviews.
The use of artificial intelligence and natural language processing to automatically evaluate interview conversations, identifying key competencies, skills mentions, potential concerns, and candidate strengths based on their responses. This technology scales human judgment and ensures consistency.
Key moments or clips from recorded interviews that can be easily extracted and shared with stakeholders through interview software. Highlights showcase candidate responses to critical questions without requiring full interview review, accelerating decision-making.
An interview format where all candidates are asked the same predetermined questions in the same order, allowing for standardized evaluation and fair comparison. Interview intelligence software helps enforce structured interviewing by providing question guides and tracking coverage.
A standardized evaluation form within interview software where interviewers rate candidates on specific competencies, skills, or attributes relevant to the role using predetermined criteria. Digital scorecards enable data aggregation and objective comparison across candidates.
A structured document containing questions, evaluation criteria, and instructions that interviewers follow to ensure consistency. Interview intelligence platforms often integrate guides directly into the interview interface, prompting interviewers to cover all critical competencies.
Information collected from interviews including transcripts, recordings, scores, feedback, timing metrics, and behavioral observations. Interview software centralizes this data, making it searchable, analyzable, and actionable for hiring decisions and process improvement.
Actionable findings derived from analyzing interview data across multiple candidates and interviewers. These insights might reveal patterns in successful candidate responses, gaps in interview coverage, or opportunities to improve interview questions and evaluation criteria.
The ability for hiring team members to review, comment on, and evaluate interviews together through shared access in interview software. Advanced interview intelligence platforms thoughtfully balance collaboration with bias prevention by sequencing evaluations—enabling team members to independently form and submit their assessments before seeing others' feedback, then facilitating collaborative discussion once initial impressions are recorded separately.
A practice where hiring teams align on evaluation standards and rating scales by reviewing sample interviews together through interview intelligence platforms. Calibration sessions ensure consistent assessment across interviewers and reduce subjective bias in scoring.
Personalized feedback and guidance to help interviewers improve their technique, delivered through review of actual interview recordings in interview software. Coaching might address areas like talk-time balance, question quality, or candidate engagement techniques.
Quantitative metrics and insights derived from interview data, such as average interview duration, question coverage rates, score distributions, time-to-feedback, and interviewer consistency. Analytics help optimize both individual interviews and overall hiring processes.
Data tracked by interview intelligence platforms measuring how effectively interviewers conduct interviews, including question coverage, talk-time ratio, time management, rating consistency, and feedback timeliness. These metrics support interviewer development and quality assurance.
Technology features in interview software that handle repetitive tasks without human intervention, such as automatic recording initiation, transcript generation, highlight extraction, reminder sending, or basic response analysis, freeing interviewers to focus on candidate engagement.
The extent to which planned competencies, skills, or topics were addressed during an interview. Interview intelligence platforms track coverage automatically, alerting interviewers to gaps and ensuring comprehensive candidate evaluation across all required areas.
The process of collecting, analyzing, and acting on data from completed interviews to continuously improve interview quality. Interview software facilitates feedback loops by making performance data visible and actionable for recruiters and hiring managers.
Strategies and features within interview intelligence platforms designed to minimize the impact of unconscious bias in hiring decisions. These include structured question enforcement, blind review options, objective scoring criteria, and analytics that identify rating inconsistencies.
The ability to search across interview transcripts, recordings, and metadata to quickly find specific candidate responses, topic discussions, or interview moments. Advanced interview software enables keyword search, semantic search, and filtering across entire interview libraries.
A metric measuring the long-term value and performance of new employees after they're hired, typically assessed through performance ratings, retention rates, ramp-up time, and cultural fit. While most interview intelligence platforms stop tracking data at the point of hire, leading solutions like Informed Decisions connect interview data to post-hire outcomes, enabling organizations to identify which interview signals truly predict success and continuously refine their evaluation criteria based on actual performance data.
The ability of interview software to connect bidirectionally with other HR technology systems like Applicant Tracking Systems (ATS), HRIS platforms, or calendar tools. Seamless integrations reduce manual data entry and ensure interview intelligence flows throughout the hiring workflow.
Pre-built interview structures within interview software containing role-specific questions, evaluation criteria, and scoring frameworks. Templates enable quick interview setup while ensuring consistency across similar roles and adherence to structured interview principles.
Features and practices in interview intelligence platforms that ensure adherence to legal requirements governing hiring, including consent management for recordings, data retention policies, GDPR compliance, and audit trails for regulatory requirements.
Capabilities within interview software that assist interviewers during live conversations, such as question prompts, time alerts, note-taking interfaces, or AI-generated suggestions based on candidate responses. Real-time support helps interviewers stay on track and capture complete data.
Systematic review processes enabled by interview intelligence platforms to ensure interviews meet quality standards. QA might involve reviewing recordings for compliance, evaluating interviewer technique, or verifying that structured processes were followed correctly.
Metrics that demonstrate the business value and return on investment of interview intelligence implementation, such as reduction in time-to-hire, improved quality of hire scores, decreased interviewer hours per candidate, increased offer acceptance rates, and better long-term retention of new hires.
Collections of recorded interviews within interview software used for interviewer education and development. Training libraries showcase both exemplary and problematic interview techniques, providing concrete examples that accelerate skill development.
The capability of interview software to handle various interview modalities including in-person recordings, virtual video interviews, phone screens, and asynchronous pre-recorded interviews. Comprehensive platforms support the full range of modern interview formats within a unified system.
For more information about implementing interview intelligence and selecting the right interview software for your organization, explore our comprehensive guides and webinars.
About Informed Decisions
Informed Decisions provides cutting-edge interview intelligence software that helps organizations make better, faster, and fairer hiring decisions through AI-powered interview analysis and insights. Unlike traditional interview platforms, Informed Decisions uniquely tracks quality of hire by connecting interview data to post-hire performance, enabling continuous improvement based on which interview signals actually predict success.
