Learning paths by role

Learning paths by role

Different roles need different knowledge. Choose your path below.

Implementation Engineer

Goal: Build implementations that collect the right data, cleanly and efficiently.

Time commitment: 12-16 hours

Week 1: Foundation

1. Analytics Fundamentals (1 hour)
2. The Variable Model — focus on the decision tree (2 hours)
3. The measurement mental model (0.5 hours)

Week 2: How to build

1. Implementation (3 hours)
2. EA · Delivery Lifecycle (2 hours)

Week 3: Real examples

1. Use Case: Site Search (2 hours)
2. Use Case: Contact Form (2 hours)

Week 4: Production readiness

1. Report Suites & Admin (1 hour)
2. Privacy & Governance (1 hour)
3. Troubleshooting Hub (bookmark, reference as needed)

Output: You can write a measurement plan, implement it in Web SDK, and debug issues.

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Analyst / Power User

Goal: Find insights in data, understand what metrics mean, and ask good questions.

Time commitment: 6-8 hours

Week 1: The data model

1. The measurement mental model (0.5 hours)
2. Analytics Fundamentals (1 hour)
3. Dimensions vs metrics (0.5 hours)

Week 2: How to report

1. Analysis & Reporting (2 hours)
2. The Variable Model — skim for understanding (1 hour)

Week 3: Real analysis

1. Use Case: Site Search (1.5 hours)
2. Troubleshooting: Wrong values (0.5 hours)

Output: You can segment and filter data confidently, create calculated metrics, and debug why numbers don't match.

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Business Analyst / Product Manager

Goal: Write measurement requirements that are feasible, prioritize what to track, and understand trade-offs.

Time commitment: 3-4 hours

Day 1: Strategy

1. The measurement mental model (0.5 hours)
2. Server calls as design constraint (0.5 hours)
3. Dimensions vs metrics (0.5 hours)

Day 2: Requirements

1. EA · Delivery Lifecycle — Business requirements (1 hour)
2. Use Case: Site Search (1 hour)
3. EA · Delivery Lifecycle — Measurement plan (0.5 hours)

Output: You can write measurement requirements that implementers won't have to rewrite, and you understand why not everything can be tracked.

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Analytics Admin / Manager

Goal: Understand system architecture, governance, and how to operate analytics at scale.

Time commitment: 5-6 hours

Week 1: Infrastructure

1. Analytics Fundamentals (1 hour)
2. Report Suites & Admin (2 hours)

Week 2: Governance

1. EA · Delivery Lifecycle (1.5 hours)
2. Privacy & Governance (1 hour)

Week 3: Future

1. EA · Platform Strategy (0.5 hours)

Output: You can architect multi-site implementations, set up dev/stage/prod environments, and plan for CJA migration.

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New to Analytics (any role)

Goal: Build foundational understanding before specializing.

Time commitment: 8-10 hours

1. Welcome & orientation (0.5 hours)
2. The measurement mental model (0.5 hours)
3. Analytics Fundamentals (1.5 hours)
4. The Variable Model (2 hours)
5. Core Learning Journey (sessions 1-3) (3 hours with labs)

Then choose your specialization path from above.

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Accelerated path (1 day)

For people who just need to get started:

1. The measurement mental model (0.5 hours)
2. Analytics Fundamentals (1 hour)
3. The Variable Model — decision tree (1 hour)
4. Use Case: Site Search (2 hours)

Focus: Get oriented, see a real example, know where to look for details.

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Tips for any path

Tip 1: Take notes on pages you'll reference often (decision tree, triage method, QA checklist).

Tip 2: Implement what you learn. Read about Web SDK, then send test data. The skill sticks.

Tip 3: Bookmark this page. When you forget something, come back here and jump to the relevant section.

Tip 4: Use search liberally. You don't need to memorize everything.

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Start: Pick your role above and begin Week 1.