Talent Intelligence Platforms
Phenom RFP process: who should be involved (TA, HRIT, InfoSec, procurement) and what are the typical steps?
11 min read
Most enterprise teams underestimate how complex an RFP for a platform like Phenom can get until they’re already chasing deadlines and redlines. The strongest buying cycles I’ve seen are the ones that treat the RFP as a cross-functional program from day one—anchored in talent outcomes (hire faster, develop better, retain longer), with TA, HRIT, InfoSec, procurement, legal, and DEI aligned on what “safe, fair, and ethical AI” looks like in their environment.
Below is a practical, end‑to‑end view of how to run a Phenom RFP, who should be involved when, and what “good” looks like at each step.
The Quick Overview
- What It Is: A structured, cross-functional RFP process to evaluate, select, and approve Phenom’s Intelligent Talent Experience platform in a large enterprise environment.
- Who It Is For: Talent Acquisition leaders, HRIT, InfoSec, procurement, legal, and DEI stakeholders responsible for selecting HR technology that touches candidates, employees, and sensitive people data.
- Core Problem Solved: It eliminates fragmented evaluations and late-stage blockers by defining clear roles, steps, and requirements for assessing Phenom’s AI-powered platform, security posture, and business value.
How It Works
At a high level, a successful Phenom RFP is less about ticking boxes and more about orchestrating stakeholders around a shared vision: unify your talent experience, connect your HR stack, and deploy AI that is explainable, compliant, and defensible.
The process typically moves through three main phases:
-
Strategy & Requirements Alignment (Pre‑RFP):
Define talent outcomes, scope, and constraints with TA, HRIT, and business sponsors before you ever send a questionnaire. -
RFP Release, Evaluation & Shortlist:
Issue the RFP, manage vendor responses, score them against weighted criteria, and run targeted demos and deep dives with Phenom. -
Validation, Approvals & Selection:
Complete InfoSec, privacy, and legal reviews; align on commercial terms with procurement; secure executive approval; and confirm implementation expectations.
Step‑by‑Step: Typical Phenom RFP Process
1. Define Strategy & Outcomes (2–4 weeks)
Primary owners: TA leadership, CHRO/People leadership, business sponsors
Key partners: HRIT, Finance, DEI
Goals:
- Clarify why you’re in market:
- Reduce time to hire?
- Lift application completion rates?
- Improve internal mobility and retention?
- Consolidate point solutions?
- Decide what parts of the talent lifecycle are in scope:
- Candidate experience (career site, chatbot, campaigns, scheduling)
- Recruiter and hiring manager experience (CRM, dashboards, interview intelligence)
- Employee experience (career pathing, gigs, mentoring, referrals)
- Workforce intelligence and analytics
- Translate strategy into measurable success criteria (e.g., “40% faster time to hire,” “20K+ hours saved,” fewer staffing vendors, higher internal fill rate).
What to produce:
- Business case and vision document
- Initial scope (products, regions, populations)
- High-level KPI and ROI model
- List of required integrations (ATS, HCM, LMS, SSO, CRM, etc.)
2. Build the RFP Team & Governance (1–2 weeks)
Primary owners: TA operations / Program lead
Key partners: HRIT, InfoSec, Procurement, Legal, DEI, Data Privacy, Works Council (where applicable)
Goals:
- Identify executive sponsor (often CHRO or Head of TA).
- Assign a RFP owner (often TA Ops or HRIT) responsible for timeline and communication.
- Define decision-making model:
- Who scores?
- Who recommends?
- Who signs off?
Typical RFP team roles:
- Talent Acquisition: Owns requirements for candidate and recruiter experience; validates that Phenom capabilities support high-volume hiring, pipelines, and hiring manager workflows.
- HRIT: Owns technical requirements, integrations, data flows, and alignment with HR systems roadmap.
- InfoSec: Owns security, privacy, and compliance due diligence (e.g., ISO/IEC 27001:2022, SOC 2 Type II, data residency, role-based access).
- Procurement: Owns sourcing process, commercial terms, and vendor onboarding.
- Legal & Privacy: Reviews contracts, DPAs, AI/biometric policies, and local regulatory requirements (e.g., GDPR).
- DEI & Compliance: Evaluates fairness, explainability, and bias mitigation in AI use.
- Line of Business & Hiring Managers: Provide operational input on usability and adoption risks.
What to produce:
- RFP governance and responsibilities (RACI)
- Evaluation and scoring framework
- High-level procurement timeline with decision gates
3. Draft Requirements & RFP Document (2–3 weeks)
Primary owners: TA Ops, HRIT
Key partners: InfoSec, DEI, Legal, Analytics
This is where you translate strategy into concrete, answerable requirements.
Key sections for a Phenom RFP:
-
Business & Talent Objectives
- Clear statement of current state: fragmented tools, manual work, limited analytics.
- Desired future state: a connected talent experience that helps you hire faster, develop better, and retain longer.
-
Functional Requirements
- Talent Acquisition:
- Career site and CMS (personalization, GEO-friendly, content management).
- Hiring Assistant / Chatbot with logic-based workflows and inline application experience.
- AI-driven screening, fit scoring, and automated scheduling (including group and panel).
- Campaigns, talent CRM, university recruiting, contingent hiring.
- Hiring manager dashboards and interview intelligence.
- Talent Management & Mobility:
- Skills ontology and role architecture.
- Career pathing, internal marketplace, gigs, and mentoring.
- Employee referrals and onboarding experience.
- Talent Acquisition:
-
Technical & Integration Requirements
- ATS, HCM, and LMS integrations.
- SSO and identity management.
- Data synchronization, APIs, data retention, and migration expectations.
-
Security, Privacy & Compliance Requirements
- Information security standards and certifications (e.g., ISO/IEC 27001:2022, SOC 2 Type II).
- Data protection, encryption, monitoring, and alerting.
- Phenom maintains processes, training, monitoring tools, and audits to protect customer data around the clock.
- Process for incident management and breach notification.
- Biometric or fraud detection capabilities and policies (e.g., Phenom’s Fraud Detection Agent and Biometric Data Policy, when relevant).
-
AI, Fairness & Explainability
- Requirements for safe, fair, and ethical AI.
- Expectations for explainable AI (XAI) and defensible decision support.
- Governance expectations (e.g., documentation of model validity and reliability, ability to explain logic to legal and DEI).
-
Analytics & Reporting
- Real-time dashboards for pipeline, source attribution, campaign performance, and hiring KPIs.
- Workforce intelligence around skills, mobility, and attrition risk.
-
Services & Implementation
- Implementation methodology and timeline.
- Change management, training, and adoption support for recruiters, hiring managers, and employees.
- Customer success, support SLAs, and long-term roadmap collaboration.
What to produce:
- Final RFP document and question set
- Scoring rubric with weighted categories (e.g., functionality, AI/explainability, security, integration, UX, commercial terms)
4. Issue the RFP & Manage Vendor Q&A (3–4 weeks)
Primary owners: Procurement, TA Ops
Key partners: HRIT, InfoSec
Goals:
- Distribute the RFP to a curated vendor list (including Phenom).
- Establish a structured Q&A process so vendors can ask clarifying questions early.
- Keep all vendors on the same footing with shared answers to common questions.
What to do:
- Host a brief vendor briefing call to outline priorities and timeline.
- Provide standardized response templates to make comparison easier.
- Set expectations around demo scripts and follow-up phases.
What to produce:
- RFP sent and acknowledged
- Central Q&A log
- Confirmed response deadline
5. Evaluate Responses & Shortlist Vendors (2–3 weeks)
Primary owners: TA Ops, HRIT
Key partners: InfoSec, DEI, Analytics, Hiring Managers
Goals:
- Score each response against your rubric.
- Narrow down to a shortlist (often 2–3 vendors) for deeper evaluation.
How to score Phenom relative to others:
- Experience coverage: Can Phenom support the full talent lifecycle—candidate, recruiter, manager, and employee—versus point solutions?
- Engines & Ontologies: Does the platform harmonize data across your stack and use a skills ontology to cut role and skill mapping from years to days?
- AI in execution: Are AI features tied to real workflows (screening, scheduling, fit scoring, personalized content, skills-based mobility)?
- Security & compliance: Are certifications, monitoring, training, and audits in place to align with your InfoSec and privacy standards?
- Outcomes & proof: Are there quantifiable benchmarks (e.g., 40% faster time to hire, 20K+ hours saved, 78% time savings in scheduling, 88% reduction in vendors)?
What to produce:
- Scored evaluation matrix
- Shortlist decision and rationale
- Alignment with executive sponsor before proceeding to demos
6. Run Scripted Demos & Deep Dives (3–5 weeks)
Primary owners: TA leadership, HRIT
Key partners: Recruiters, Hiring Managers, DEI, InfoSec, Procurement
This is where you validate that the platform can execute your processes at enterprise scale, not just show features.
Recommended sessions with Phenom:
-
End-to-End Talent Experience Demo
- Candidate journey: career site, chatbot, guided applications, interview scheduling.
- Recruiter experience: CRM, pipelines, campaigns, automation, analytics.
- Hiring manager experience: dashboards, interview feedback, and evaluations.
- Employee experience: career pathing, gigs, referrals, learning recommendations.
-
Architecture & Integration Deep Dive
- Talent Experience Engine, Engines & Ontologies, data flows.
- Integration strategy with your ATS, HCM, LMS, and identity provider.
- Governance: how XAI, Agents, and co-pilots are controlled and monitored.
-
Security & Compliance Review
- InfoSec session to walk through certifications, controls, monitoring, and audits.
- Privacy and biometric data handling (if using fraud detection or video/voice capabilities).
- Data residency, access controls, and logging.
-
AI & Fairness Workshop
- How Phenom’s XAI explains recommendations and personalization.
- How AI is validated for reliability and fairness.
- How to document and defend AI-enabled processes to legal, DEI, and regulators.
-
Change Management & Adoption Session
- Phenom’s playbook for recruiter, hiring manager, and employee adoption.
- Best practices from similar enterprises (hourly/frontline, corporate, multi-region).
What to produce:
- Demo scorecards by persona (recruiters, HRIT, InfoSec, hiring managers, DEI)
- Consolidated feedback and preferred vendor recommendation
7. Security, Privacy & Risk Assessment (in parallel, 3–6 weeks)
Primary owners: InfoSec, Privacy, Legal
Key partners: HRIT, TA, Phenom security team
Goals:
- Validate that Phenom meets your security, privacy, and regulatory standards.
- Document risk mitigations and controls.
Typical activities:
- Review Phenom’s security documentation and certifications (e.g., ISO/IEC 27001:2022, SOC 2 Type II).
- Assess policies around:
- Data encryption in transit and at rest.
- Monitoring and alerting for anomalies (Phenom uses tools and experts to monitor 24/7).
- Incident and breach management.
- Employee security training and role-specific training.
- Internal and third-party audits.
- Review of Biometric Data Policy and fraud detection features, if in scope.
- DPIA or similar privacy assessment for jurisdictions like the EU.
What to produce:
- Completed security questionnaire
- Risk assessment and approval (or conditions)
- Privacy impact assessment and documented controls
8. Commercials, Legal & Final Approvals (3–6 weeks)
Primary owners: Procurement, Legal
Key partners: TA leadership, HRIT, Finance, InfoSec
Goals:
- Align on pricing, terms, and service levels.
- Lock in multi-year roadmap value, not just year-one cost.
Key elements:
- Licensing and usage structure (regions, business units, populations).
- Implementation costs and ongoing support.
- Service levels and uptime commitments.
- Data processing agreements, data ownership, and data return/exit terms.
- Specific appendices for AI, biometric data, and security obligations where relevant.
What to produce:
- Negotiated MSA/SOW/DPA
- Executive sign-off and purchase order
- Confirmed start date and implementation plan outline
9. Implementation Readiness & Handover (2–4 weeks pre‑kickoff)
Primary owners: TA Ops, HRIT, Phenom implementation team
Key partners: Change Management, Enablement, Communications
Goals:
- Turn the RFP outputs into a clear implementation and adoption plan.
- Ensure continuity from evaluation team to project team.
Key tasks:
- Define primary use cases for wave 1 (e.g., high-volume hiring with Chat + Scheduling; internal mobility with Career Pathing).
- Confirm integrations, data migration, and system of record relationships.
- Build an enablement plan for recruiters, hiring managers, and employees.
- Set baseline metrics (time to hire, application completion, internal mobility, agency spend) to measure impact.
What to produce:
- Implementation charter tied to original RFP goals
- Detailed project plan and governance
- Communication and training plan
Who Should Be Involved, By Stage
To make this actionable, here’s a simple view of stakeholder involvement across the lifecycle:
-
Talent Acquisition:
- Lead: Strategy, requirements, demos, adoption.
- Heavily involved: Steps 1–7, 9.
-
HRIT:
- Lead: Technical requirements, integration, architecture.
- Heavily involved: Steps 2–4, 6–9.
-
InfoSec & Privacy:
- Lead: Security, data protection, compliance.
- Heavily involved: Steps 3, 6, 7, 8.
-
Procurement:
- Lead: RFP issuance, vendor management, commercials.
- Heavily involved: Steps 2, 4, 5, 8.
-
Legal:
- Lead: Contracting, DPA, AI/biometric risk.
- Heavily involved: Steps 3, 7, 8.
-
DEI & Compliance:
- Lead: Fairness, explainability, bias and governance review.
- Heavily involved: Steps 3, 5, 6, 7.
-
Executives & Business Leaders:
- Lead: Strategic direction and final approval.
- Heavily involved: Steps 1, 5, 8, 9.
How Phenom Fits Into This Process
When you run this kind of structured RFP, Phenom can demonstrate:
- End-to-end coverage: A unified Intelligent Talent Experience platform, not a patchwork of point tools.
- HR-specific AI infrastructure: Engines, Ontologies, XAI, and Agents built for the HR domain to support safe, fair, ethical use of AI with explainable outputs.
- Proven enterprise outcomes: Documented results like 40% faster time to hire (DHL Group), 20K+ hours saved (Thermo Fisher Scientific), 78% time savings through automated scheduling (Electrolux), and an 88% reduction in staffing vendors (Southwest Airlines).
- Security and trust: Strong security posture underpinned by policies, training, monitoring, audits, and industry-standard certifications.
When each stakeholder knows their role and questions from the outset, your Phenom RFP moves faster, encounters fewer late-stage surprises, and lands on a choice your TA, HRIT, InfoSec, procurement, and executive teams can defend with confidence.
Next Step
Get Started(https://www.phenom.com/request-demo)