Build an AI Content Performance Analyst
Build a repeatable content analysis workflow that handles missing data honestly, identifies supported patterns, and turns one defined dataset into ten measurable content experiments.
Choose the Decision and Performance Objective
Write an analysis charter with account, platform, objective, decision, audience, window, exclusions, and owner.
Build the Content Data Contract
Create a posts input schema, data dictionary, validation rules, and synthetic fixture label.
Define Comparable Performance Measures
Write the metric rubric, rate formulas, eligibility rules, and confidence anchors.
Analyze the Account's Own Content
Produce an own-account findings ledger linked to specific rows and aggregate evidence.
Add Competitor or Adjacent Context Carefully
Create a comparison ledger that states visible evidence, unavailable fields, and permitted conclusions.
Turn Findings into Ten Content Experiments
Create a prioritized ten-item plan containing repeat, adapt, stop, and test decisions.
Test and Operate the Analysis Loop
Run deterministic fixture tests, record repairs, and finish the capstone report and operating cadence.
What you will work towards
Work through this course to prepare a content analysis and experiment pack for one dataset. The curriculum takes you through a data contract, comparable measures, supported patterns, experiment definitions and review rules.
Start with one account, one platform and a closed observation window. Use synthetic information while learning when permission to use live records is unresolved.
A practical case to carry through the lessons
A post with more clicks may also have received paid distribution or longer exposure. Mark those differences before comparing it with an organic post from yesterday.
Keep missing metrics visible. Distinguish a promising pattern from a causal conclusion and define what each proposed experiment will measure.
How to know the work is ready for review
Before calling the exercise complete, check that the content owner can reproduce the comparison and decide which experiment deserves a test.