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MasarUX
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axd-b01MasarUX ProBeginner

Agentic Opportunity Discovery and Workflow Mapping

Learn to take a workflow you have already blueprinted and judge it step by step for AI delegation — reading reversibility, verifiability, and human-attention cost per step, matching autonomy level to each step's risk profile, naming explicit do-not-automate decisions, and assembling a defensible Agentic Opportunity Map and Brief a stakeholder can act on.

18 hours (approximately)3 Levels · 30 Lessons
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By the end of this Course, you can decompose a workflow into steps, judge each step for delegation candidacy and suitability, recommend a specific autonomy level per step, name explicit do-not-automate decisions, and produce a defensible Agentic Opportunity Map and Brief that names evidence, risk, and human ownership honestly.

01Decompose a real, already-blueprinted workflow into discrete, well-grained steps ready for delegation analysis
02Judge each step for first-pass delegation candidacy before investing in deeper suitability work
03Assess a step's reversibility, verifiability, and human-attention cost as the core suitability criteria
04Reason about cascading risk across dependent steps and exception paths that concentrate failure
05Match an autonomy level — full autonomy, propose-then-confirm, notify-only, or human-only — to each step's specific risk profile
06Name explicit, written do-not-automate decisions for steps that must stay human-owned, with real reasons, never a silent omission
07Assemble a full Agentic Opportunity Map and write a stakeholder-ready Agentic Opportunity Brief
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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
Agent Suitability Assessment
Agentic Opportunity Mapping
Autonomy-Level Calibration
Delegation-Candidacy Judgment
Human-Attention Cost Assessment
Reversibility and Verifiability Analysis
Workflow Decomposition
Related Competency Domains
Research & Discovery
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Career Path relationship

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 delegation-and-autonomy judgment across 30 bilingual Lessons
  • Keeps every judgment tied to real workflow-step evidence, never generic automation enthusiasm
  • Separates what the evidence supports from what a pitch or a trend would prefer to be true, at every step
  • Uses scenario-based assessments to rehearse the real judgment calls of a working Agentic Experience Designer's practice
Who Is This Course For?
  • UX/Product Designers who already have a service blueprint or journey map and need to decide what to do with it next
  • Designers moving from single-feature AI opportunity framing into multi-step, multi-tool agentic workflow design
  • Product managers and designers who need a structured way to recommend autonomy levels to engineering and operations
  • Anyone preparing a workflow for automation review who needs a defensible, evidence-backed opportunity map and brief
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 decomposing a real workflow, judging each step, and writing a one-paragraph opportunity statement
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Course Completion Certificate

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