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MasarUX
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axd-a01MasarUX ProAdvanced

Evaluating and Observing Agentic Workflows

Learn to evaluate a multi-step agentic workflow's actual behavior across an entire run — not a single AI output — by reading run traces, measuring unnecessary actions, intervention rate, recovery quality, and oversight burden, and assembling the evidence that supports a real launch decision.

20 hours (approximately)3 Levels · 30 Lessons
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By the end of this Course, you can evaluate a multi-step agentic workflow's full run trace, measure its unnecessary actions, intervention rate, recovery quality, and oversight burden, report partial success and severity honestly, and assemble a defensible launch evidence package with a go, no-go, or conditional-go recommendation.

01Define success for a multi-step workflow and read a full run trace end to end
02Locate the step-level failure point in a run and evaluate tool-selection and sequencing quality
03Measure unnecessary actions, intervention rate, recovery quality, and oversight burden as real, counted measurements
04Detect unproductive looping and distinguish it from legitimate iteration or exploration
05Report partial success honestly using a severity scale instead of a simple pass or fail label
06Treat latency and cost as experience constraints, not only engineering metrics
07Build a workflow-level evaluation scenario set, audit it for coverage gaps, and design product-perspective observability
08Assemble a launch evidence package and present a defensible go, no-go, or conditional-go recommendation
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Curriculum

3 Levels · 30 Lessons

Assessment

Each Lesson may include a Quiz

Each Level may include an Exam

Completion requirements

Complete the available Lessons

Pass all configured Quizzes and Exams

Locked activities open only after their prerequisites are met

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Course Skills7 Course Skills
Launch-Evidence Reasoning
Oversight-Burden Measurement
Recovery and Partial-Success Evaluation
Run/Trace Analysis
Step-Level Failure Diagnosis
Tool-Selection and Sequencing Quality
Workflow Evaluation Scenario Design
Related Competency Domains
Testing & Validation
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Career Path relationship
Agentic Experience Designer

Completed Course progress automatically counts toward the Career Path when this Course belongs to a Mission.

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What You'll Gain
  • Builds one practiced workflow-evaluation judgment across 30 bilingual Lessons
  • Keeps every judgment tied to real run-trace evidence, never a summary or a single favorable run
  • Separates step-level, process-level, and workflow-level judgment at every stage of a run
  • Uses scenario-based assessments to rehearse the real judgment calls of a working Agentic Experience Designer's evaluation practice
Who Is This Course For?
  • UX/Product Designers evaluating multi-step agentic workflows before a launch or scaling decision
  • Product Designers moving from evaluating a single AI response to evaluating a full workflow run
  • Product managers and designers who need defensible, trace-level evidence for engineering and leadership
  • Anyone preparing a launch evidence package or a go/no-go recommendation for an agentic workflow
Course Features
  • 3 progressive Levels and 30 substantive bilingual Lessons
  • 30 Lesson Quizzes with 10 scenario-based questions each
  • 3 Level Exams with 15 transfer questions each
  • One structurally validated Practice Task building a 6-10 scenario evaluation set and a severity-classified launch recommendation
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Course Completion Certificate

Awarded after the Course's configured completion requirements are met.