Documentation Index
Fetch the complete documentation index at: https://www.scrums.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
Overview
Scrums.com uses AI at multiple stages of the talent lifecycle — from initial screening through to ongoing performance tracking — to ensure clients receive the best possible match, as quickly as possible.Stage 1: Candidate Assessment
When engineers apply to join the Scrums.com network, they go through a structured assessment process that includes:- Technical skills tests — Role-specific coding challenges and architecture exercises
- Communication evaluation — Written and verbal English assessment
- Behavioural assessment — Structured interview scoring against Scrums.com’s delivery culture criteria
- Reference validation — Background and professional reference checks
Stage 2: Client Matching
When a client request comes in, the matching engine evaluates the active talent pool against your specific requirements. It weights:- Stack match — How closely the candidate’s technical profile aligns with your requirements
- Availability — Current utilisation and notice period
- Delivery model experience — History with Scrum, Kanban, or the client’s preferred process
- Client history — Prior successful placements in similar industries or tech environments
Stage 3: Ongoing Performance Monitoring
Once deployed, SEOP tracks performance data across all engineers:- Story points completed vs. committed
- PR cycle time and review participation
- Defect rates and code quality scores
- Sprint ceremony attendance and engagement