SelectPrism

SelectPrism

WebsiteContact for PricingAI Interview AssistantAI Recruiting
SelectPrism is an enterprise-grade agentic AI interviewing and hiring platform that automates screening, scheduling, and adaptive video interviews with explainable, skills-based evaluations and built-in integrity checks.
https://selectprism.ai/agentic-ai-interview?ref=producthunt
SelectPrism

Product Information

Updated:May 29, 2026

What is SelectPrism

SelectPrism, built by Prismforce, is an Agentic AI interview and hiring platform designed for enterprises hiring at scale across roles, locations, and time zones. It brings structure and speed to talent decisions by combining autonomous AI agents with deep skills intelligence—so recruiting teams can move beyond manual screening and scattered feedback to consistent, evidence-backed assessments. The platform is built for Human–AI collaboration: AI handles high-volume, repeatable steps while recruiters and hiring managers retain judgment, empathy, and final decision-making, supported by audit-ready compliance and enterprise integrations.

Key Features of SelectPrism

SelectPrism is an enterprise-grade, agentic AI interviewing and hiring platform that automates early-stage recruiting from role to shortlist. It supports resume matching, on-demand phone screening, scheduling, and AI-led adaptive L1 video interviews with integrity checks and fraud detection. The platform provides role-aligned assessments (including technical/coding), consistent rubric-based scoring, explainable post-interview reports, candidate comparison/stack-ranking, and ATS handoffs. Underneath, a Skills Intelligence Engine maps 60,000+ skills and their connections to produce sharper matches, evidence-backed decisions, and continuous learning from interview outcomes, with enterprise integrations and compliance readiness (e.g., GDPR, SOC 2, FCRA, ADA).
Agentic automation from screening to shortlist: Automates key workflow steps—resume matching, instant phone screening, and first-round (L1) interviews—to reduce recruiter workload and speed up hiring cycles.
Adaptive AI-led video interviews: Runs structured, role-specific interviews that adjust questions based on candidate responses while keeping evaluation consistent on core competencies.
Integrity checks and fraud detection: Provides continuous oversight during interviews with built-in integrity monitoring to safeguard decision quality and support fair, compliant processes.
Skills Intelligence Engine (60,000+ skills): Matches people to skills (not just keywords) using a large skill graph and proprietary skills intelligence to improve shortlist precision and identify skill gaps.
Explainable scoring and post-interview reporting: Generates actionable reports with strengths, risks, overall fit, clear recommendations, and explainable scoring to support auditable decisions.
Enterprise integrations and ATS handoff: Connects with ATS/HRIS/CRM and calendars to ingest resumes, schedule interviews, sync results, and hand off candidates for next-round scheduling.

Use Cases of SelectPrism

High-volume enterprise hiring (shared services / TA teams): Standardizes and scales L1 screening and interviews across roles, geographies, and recruiters, reducing scheduling chaos and improving consistency.
Technical hiring (software, IT services, engineering): Uses multi-modal evaluations and role-aligned technical/coding assessments with adaptive calibration to measure depth beyond resumes.
Staffing and recruiting agencies (SLA-driven submissions): Accelerates screening and shortlisting to produce client-ready candidate packs with evidence-backed insights and consistent rubrics.
Healthcare hiring (e.g., nursing and clinical roles): Runs structured, scenario-based interviews and produces immediate scorecards/transcripts to reduce clinician time spent on early rounds.
Talent rediscovery from existing candidate pools: Re-engages strong past candidates (beta) and quickly re-screens them against new role requirements to fill positions faster.
Hiring manager decision support in later rounds: Provides an Interview Copilot (beta) that offers follow-up prompts and guidance aligned to an evaluation rubric during L2 interviews.

Pros

End-to-end early-stage automation (screening, scheduling, L1 interviews) can materially reduce time-to-hire and recruiter workload.
Structured, rubric-based and explainable evaluations improve consistency and make decisions easier to audit and defend.
Skills intelligence approach (skills graph) supports better matching than keyword-only resume screening.
Enterprise-ready posture with integrations and stated compliance alignment (GDPR, SOC 2, FCRA, ADA).

Cons

Interview Copilot, talent rediscovery, and HR connect/scheduling are labeled beta, implying some capabilities may be evolving or limited.
AI-led interviews and monitoring may require careful change management to ensure candidate experience and stakeholder trust.
Effectiveness depends on quality of role definitions/rubrics and integration setup with existing ATS/HR systems.

How to Use SelectPrism

1) Define the role and success rubric: Create (or import) the role requirements and evaluation rubric you want SelectPrism to use for structured, consistent scoring (skills, experience, background, and role expectations).
2) Connect your systems (ATS/HRIS/CRM + calendars): Integrate SelectPrism with your ATS/HRIS/CRM and calendars so resumes can be auto-ingested, interviews can be scheduled, and results can sync back for end-to-end handoff.
3) Ingest candidates into SelectPrism: Bring candidates in via ATS sync (or your existing talent pool) so SelectPrism can start matching and screening. If available, use talent rediscovery (beta) to re-engage strong past candidates.
4) Run resume matching and shortlist review: Use SelectPrism’s resume matching to view best-fit profiles ranked by holistic fit (skills, experience, background). Review the ranked list to decide who should enter screening.
5) Launch automated, on-demand phone screening: Trigger instant phone-based screening for selected candidates. This step filters out unqualified profiles early and standardizes initial evaluation.
6) Enable HR connect & scheduling (beta) to book interviews: Send interview invites and let SelectPrism coordinate time slots to reduce back-and-forth. Confirm that scheduled sessions are reflected in connected calendars/ATS.
7) Conduct AI-led L1 video interviews with integrity monitoring: Have candidates complete adaptive L1 video interviews. Keep fraud detection/integrity checks enabled to safeguard interview quality and credibility.
8) Add role-aligned, multi-modal assessments when needed: Configure practical evaluations (e.g., technical, coding, problem-solving). SelectPrism can adapt question difficulty (adaptive calibration) and capture “thinking signals” for reasoning snapshots.
9) Apply consistent scoring with rubrics: Ensure interviews and assessments are scored using consistent, role-based rubrics to reduce drift and support scalable, unbiased evaluation.
10) Review the post-interview report and explainable scoring: Open the post-interview report to see strengths, risks, overall fit, and a clear recommendation, along with explainable scoring (rationale/evidence) to support decisioning.
11) Compare candidates and select finalists: Use candidate comparison and stack-ranked lists to identify the top 2–3 finalists for next-round (L2) interviews.
12) Run L2 interviews with Interview Copilot (beta) for hiring managers: During L2 rounds, use Interview Copilot (beta) to get smart suggestions, follow-up prompts, and guidance aligned to your evaluation rubric.
13) Consolidate feedback with unified forms: Collect interviewer feedback in a single unified format to keep scoring consistent and reduce evaluation drift across interviewers.
14) Hand off outcomes back to ATS for next steps: Sync results to your ATS for next-round scheduling, offer workflow, and recordkeeping. Use the audit-ready trail to support compliance needs (e.g., GDPR, SOC 2, FCRA, ADA).

SelectPrism FAQs

SelectPrism is an enterprise-grade agentic AI interviewing and hiring platform designed to help organizations move from screening to selection with structured, AI-led evaluations and human oversight for final decisions.

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