RECRUITER ASSESSMENT AGENT — SCORING RUBRIC ============================================ Reference file for the Custom GPT. Upload this file in Configure → Knowledge. The GPT will reference it automatically in every conversation to apply predefined criteria for common role types. SCORING SCALE ------------- 0 = Absent — not mentioned anywhere in the profile 1 = Basic — mentioned briefly, limited evidence of application 2 = Moderate — demonstrated with some context or examples 3 = Strong — well-evidenced with specific projects, outcomes, or certifications 4 = Expert — deep specialisation, leadership in this area, or recognised expertise WEIGHTING --------- Must-Have criteria: 70% of total score Nice-to-Have criteria: 30% of total score Total = (Must-Have % x 0.70) + (Nice-to-Have % x 0.30) TIER THRESHOLDS --------------- Tier A — >= 80% — Recommend for interview, strong alignment Tier B — 65-79% — Recommend for interview, some gaps to explore Tier C — 50-64% — Hold, consider for future roles Tier D — < 50% — Not aligned for this role at this time TIEBREAKER ORDER ---------------- 1. Must-Have score (higher wins) 2. Certifications directly relevant to the role 3. Years of relevant experience 4. Nice-to-Have score 5. Flag as equal — recruiter decides CONFIDENCE MARKERS ------------------ CONFIRMED — Directly stated in the uploaded document INFERENCE — Reasonable deduction based on role titles, context, or implied skills GAP — Required by JD but absent from the profile RISK — Present but warrants verification (short tenure, scope mismatch, overqualified) --- ROLE TYPE CRITERIA BANKS ========================= Use these as starting points. Always defer to the JD over this reference. If the JD does not distinguish must-have from nice-to-have, ask the recruiter to confirm before scoring. ------------------------------------------------- ROLE TYPE: DATA ENGINEER ------------------------------------------------- Must-Have: - Cloud data platform (Azure / AWS / GCP) experience - SQL proficiency (intermediate to advanced) - ETL / ELT pipeline design and development - Python or Scala for data processing - Data modelling concepts (star schema, normalisation) Nice-to-Have: - Databricks / Apache Spark - dbt (data build tool) - Azure Data Factory or equivalent orchestration - CI/CD for data pipelines - Medallion / lakehouse architecture ------------------------------------------------- ROLE TYPE: BUSINESS ANALYST ------------------------------------------------- Must-Have: - Requirements elicitation and documentation - Stakeholder management and communication - Process mapping (AS-IS / TO-BE) - Agile / Scrum experience - Business case development Nice-to-Have: - Domain knowledge (financial services / public sector / retail) - Power BI or similar BI tools - BPMN or process notation - BCS / CBAP certification - SQL for data queries ------------------------------------------------- ROLE TYPE: PROJECT MANAGER ------------------------------------------------- Must-Have: - End-to-end project delivery (budget, timeline, risk) - Stakeholder and executive communication - Risk and issue management - Agile or waterfall delivery methodology - Team leadership and resource management Nice-to-Have: - PMP / PRINCE2 / APM certification - Programme management experience - Change management - PMO governance experience - Sector-specific domain knowledge ------------------------------------------------- ROLE TYPE: CLOUD SOLUTIONS ARCHITECT ------------------------------------------------- Must-Have: - Cloud architecture design (Azure / AWS / GCP) - Infrastructure as Code (Terraform / Bicep / CloudFormation) - Security and compliance in cloud environments - Networking fundamentals (VNet, VPC, DNS, load balancing) - Solution design documentation and stakeholder presentation Nice-to-Have: - Azure Solutions Architect Expert / AWS Certified Solutions Architect - DevOps / CI-CD pipeline design - Cost optimisation and FinOps - Hybrid or multi-cloud architecture - Migration strategy and execution ------------------------------------------------- ROLE TYPE: PRODUCT MANAGER ------------------------------------------------- Must-Have: - Product roadmap definition and prioritisation - Cross-functional team collaboration (engineering, design, business) - User research and feedback synthesis - Data-driven decision making (product metrics, KPIs) - Stakeholder communication and alignment Nice-to-Have: - B2B SaaS or enterprise product experience - OKR / Jobs-to-be-Done framework - A/B testing and experimentation - SQL for product analytics - Domain expertise (fintech / healthtech / enterprise software) ------------------------------------------------- ROLE TYPE: CHANGE MANAGEMENT CONSULTANT ------------------------------------------------- Must-Have: - Change impact assessment and stakeholder mapping - Training needs analysis and delivery - Communications planning - Resistance management strategies - Programme integration (alongside PMs and workstream leads) Nice-to-Have: - Prosci ADKAR certification - Organisational design experience - Digital transformation programmes - Executive coaching or facilitation - HR business partnering background ------------------------------------------------- ROLE TYPE: CYBERSECURITY ANALYST ------------------------------------------------- Must-Have: - Threat detection and incident response - SIEM tools (Splunk, Microsoft Sentinel, or equivalent) - Vulnerability assessment and management - Security frameworks (NIST, ISO 27001, CIS) - Network and endpoint security fundamentals Nice-to-Have: - CISSP / CEH / CompTIA Security+ certification - Cloud security (Azure Security Center / AWS Security Hub) - Penetration testing experience - SOC operations experience - Scripting for security automation (Python / PowerShell) ------------------------------------------------- ROLE TYPE: DATA ANALYST ------------------------------------------------- Must-Have: - SQL (intermediate to advanced) - Data visualisation (Power BI / Tableau / Looker) - Data cleaning and transformation - Statistical analysis and interpretation - Communicating insights to non-technical stakeholders Nice-to-Have: - Python or R for analysis - DAX or calculated measures in BI tools - Experience with cloud data warehouses (Snowflake / BigQuery / Synapse) - A/B testing or experimentation - Domain knowledge (finance / operations / marketing) ------------------------------------------------- ROLE TYPE: DELIVERY LEAD / ENGAGEMENT MANAGER ------------------------------------------------- Must-Have: - Client relationship management at senior level - Delivery oversight across multiple workstreams - Financial management (P&L, margins, forecasting) - Risk escalation and issue resolution - Team leadership and performance management Nice-to-Have: - Consulting or professional services background - Sector expertise (public sector / financial services / energy) - Bid and proposal writing - Capability building and people development - CRM or project portfolio tooling --- USAGE NOTES =========== - If a JD matches one of the role types above, use that criteria bank as the default scoring framework. - If the JD provides its own explicit criteria, always defer to the JD. - If the JD is incomplete or ambiguous, use the closest criteria bank as a supplement and flag assumptions to the recruiter. - Criteria banks are starting points — adapt language and specificity to match the JD exactly. - For roles not listed here, extract criteria directly from the JD and ask the recruiter to confirm must-have vs nice-to-have split.