Scrum principles & empiricism
Transparency, inspection, adaptation, Scrum values, iterative delivery, incremental learning, focus, commitment, openness, respect, and courage.
Scrum skill assessment
Assess Scrum principles, roles, events, artefacts, commitments, sprint planning, backlog refinement, estimation, Definition of Done, team collaboration, impediment handling, metrics, and practical judgement.
Skill signals
Measure practical knowledge of Scrum, including accountabilities, events, artefacts, planning, refinement, quality, collaboration, impediments, metrics, and scenario-based judgement.
Transparency, inspection, adaptation, Scrum values, iterative delivery, incremental learning, focus, commitment, openness, respect, and courage.
Product Owner, Scrum Master, Developers, self-management, accountability boundaries, collaboration, and responsibility for value and quality.
Sprint, Sprint Planning, Daily Scrum, Sprint Review, Sprint Retrospective, time-boxing, objectives, participants, and expected outcomes.
Product Backlog, Sprint Backlog, Increment, Product Goal, Sprint Goal, Definition of Done, transparency, and inspection.
Sprint Goals, capacity, forecasting, decomposition, estimation, dependencies, risk, team commitment, and achievable sprint scope.
User stories, acceptance criteria, ordering, readiness, splitting, clarification, estimation, dependencies, and value-focused refinement.
Definition of Done, cross-functional teamwork, technical quality, blockers, escalation, stakeholder collaboration, and continuous improvement.
Velocity, burndown, burnup, cycle time, missed sprint goals, changing priorities, stakeholder pressure, team conflict, and practical judgement.
Assessment flow
Run a consistent assessment with realistic Scrum scenarios, structured scoring, and decision-ready reports.
Choose experience level, question mix, sprint scenarios, time limits, and the accountabilities being evaluated.
Candidates answer framework questions and handle planning, backlog, impediment, quality, metrics, and stakeholder scenarios.
Score framework knowledge, planning, backlog management, collaboration, quality, metrics, and practical decision-making.
Compare competency breakdowns, question-level performance, scenario decisions, and evidence-based recommendations.
Score breakdown
Use cases
Evaluate Scrum knowledge for Scrum Masters, Product Owners, Developers, delivery leads, analysts, testers, and Agile team members.
Agile recruitmentMeasure understanding before assigning employees to Scrum teams, projects, transformation programmes, or coaching initiatives.
Capability validationIdentify candidates who understand iterative delivery, teamwork, value focus, transparency, inspection, and adaptation.
Team readinessUse realistic Scrum scenarios, automated evaluation, and explainable score reports to improve Agile hiring and capability decisions.
Use structured tasks, automated evaluation, and clear reports to shortlist stronger engineering candidates faster.