Photograph: Shane Rounce on Unsplash

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Photograph: Shane Rounce on Unsplash

Course plan · Enrolment not openMeasurement and communication · Self-paced

Privacy-conscious analytics and customer journey measurement

With Shane Rounce

I teach privacy-conscious analytics and customer journey measurement through a practical project, worked examples and checks that another person can repeat. This is a complete course plan; lesson recordings, workbooks and delivery are still to be produced.

4 weeks16 learning hoursSelf-paced

I’m developing this course as part of Learn Courses. This is the full teaching plan, ready to review before I produce the lessons and open enrolment.

IS THIS FOR YOU?

Who I’m building this for

Marketers and developers implementing analytics.

Before you begin

A computer with a current browser and permission to use the project material.
Basic familiarity with the subject and the ability to prepare and share a small digital project.
No client records, credentials or production changes are needed for the exercises.

PROPOSED COURSE FEE

£99

Provisional planning figure, not an approved price or an offer for sale. I have assumed reusable self-paced lessons and bounded support. Production effort, access period, assessment support and tax treatment need confirming before sale.

Planning price only. Enrolment is closed and no payment is taken.

Explore a sample learning space →

The sample is fictional. It is separate from this course’s future lessons.

A PRACTICAL NEXT STEP

What you’ll be able to do

Map necessary events, retention and who can see the output before selecting tools.
Observe fresh, refused, accepted and withdrawn states in network requests.
Design aggregate journeys without hidden fingerprinting and separate optional integrations.
Detect missing and duplicate events and write a plain-language data dictionary.

THE TEACHING PLAN

Your next 4 weeks

A clear route through the subject, with something to make, test or reflect on at every stage.

MODULE 1

Define the measurement purpose

I explain the decisions behind define the measurement purpose using worked examples, a deliberately broken case and a corrected version. The lesson distinguishes what the evidence establishes from what still needs checking.

Your practical activity: Map necessary events, retention and who can see the output before selecting tools.
How I’ll check your understanding: Submit the working artefact and a short evidence note for module 1: map necessary events, retention and who can see the output before selecting tools. Include the initial state, the chosen change, a meaningful failure case and the result of the check. I review whether the evidence supports the conclusion and return specific revisions where it does not.

MODULE 2

Test the consent sequence

I explain the decisions behind test the consent sequence using worked examples, a deliberately broken case and a corrected version. The lesson distinguishes what the evidence establishes from what still needs checking.

Your practical activity: Observe fresh, refused, accepted and withdrawn states in network requests.
How I’ll check your understanding: Submit the working artefact and a short evidence note for module 2: observe fresh, refused, accepted and withdrawn states in network requests. Include the initial state, the chosen change, a meaningful failure case and the result of the check. I review whether the evidence supports the conclusion and return specific revisions where it does not.

MODULE 3

Keep first-party reporting bounded

I explain the decisions behind keep first-party reporting bounded using worked examples, a deliberately broken case and a corrected version. The lesson distinguishes what the evidence establishes from what still needs checking.

Your practical activity: Design aggregate journeys without hidden fingerprinting and separate optional integrations.
How I’ll check your understanding: Submit the working artefact and a short evidence note for module 3: design aggregate journeys without hidden fingerprinting and separate optional integrations. Include the initial state, the chosen change, a meaningful failure case and the result of the check. I review whether the evidence supports the conclusion and return specific revisions where it does not.

MODULE 4

Validate the report

I explain the decisions behind validate the report using worked examples, a deliberately broken case and a corrected version. The lesson distinguishes what the evidence establishes from what still needs checking.

Your practical activity: Detect missing and duplicate events and write a plain-language data dictionary.
How I’ll check your understanding: Submit the working artefact and a short evidence note for module 4: detect missing and duplicate events and write a plain-language data dictionary. Include the initial state, the chosen change, a meaningful failure case and the result of the check. I review whether the evidence supports the conclusion and return specific revisions where it does not.

PUT IT INTO PRACTICE

Your final project

Build and document a complete practical project for privacy-conscious analytics and customer journey measurement. Use an invented organisation or an expressly permitted personal project, join the four module artefacts into one coherent result and demonstrate a normal journey, a failure state and a recovery or revision.

What you’ll produce

Module 1 artefact: Map necessary events, retention and who can see the output before selecting tools.
Module 2 artefact: Observe fresh, refused, accepted and withdrawn states in network requests.
Module 3 artefact: Design aggregate journeys without hidden fingerprinting and separate optional integrations.
Module 4 artefact: Detect missing and duplicate events and write a plain-language data dictionary.
A concise project brief, source and rights record, evidence log and handover with known limitations.

What good work looks like

Define the measurement purpose: 20 marks for a correct artefact, justified decisions and repeatable evidence.
Test the consent sequence: 20 marks for a correct artefact, justified decisions and repeatable evidence.
Keep first-party reporting bounded: 20 marks for a correct artefact, justified decisions and repeatable evidence.
Validate the report: 20 marks for a correct artefact, justified decisions and repeatable evidence.
Integration and handover: 20 marks for a coherent project, source acknowledgement, appropriate access and a clear explanation of remaining limits. Pass requires at least 70/100 and correction of any privacy, access or destructive-operation defect before completion.

Resources for your learning

A worked example and a deliberately broken fixture for define the measurement purpose.
A worked example and a deliberately broken fixture for test the consent sequence.
A worked example and a deliberately broken fixture for keep first-party reporting bounded.
A worked example and a deliberately broken fixture for validate the report.
A privacy-conscious analytics and customer journey measurement workbook with evidence prompts and the capstone marking sheet.
A transcript, caption file and text-first lesson version for every recording.
A downloadable source-and-rights checklist and a sample completed project handover.

A course you can access

Provide edited captions, transcripts and a text-first route through every lesson.
Use keyboard-operable exercises, visible focus, legible contrast and no essential autoplay or motion.
Supply downloadable instructions and low-bandwidth alternatives; avoid timed assessment as a default.
Offer equivalent written evidence where live attendance or spoken presentation is a barrier and document support before enrolment.

FINISH WITH SOMETHING USEFUL

How you’ll complete the course

Submit all four module artefacts and respond to assessment feedback.
Complete the capstone at 70/100 or above with no unresolved access, privacy or destructive-operation defect.
Explain a meaningful failure case and the limits of the result in the evidence log.
Completion records describe assessed participation; I am not claiming external accreditation.

Completion will describe the work you have done. No external accreditation or professional qualification is claimed.

BEFORE I OPEN ENROLMENT

What I still need to finish

I’ll turn this plan into a delivered course once the teaching material and the learning service are ready.

Produce and editorially review the four lessons, worked examples, broken fixtures and marking guidance for privacy-conscious analytics and customer journey measurement.
Build and test the course-specific workbook and capstone reference project using synthetic or permitted material.
Pilot the complete learner journey, including mobile, keyboard, captions, assessment feedback and recovery from interrupted access.
Approve the actual price, tax treatment, refund terms, access period, support boundaries and any cohort dates before accepting payment.
Implement and test authentication, server-side paid entitlements, webhook reconciliation, private asset access and tenant isolation before unlocking paid lessons.
Confirm tutor availability, feedback turnaround, moderation responsibilities and capacity before advertising tutor-led support.
Review source licences, sample rights and current official technical guidance before recording or publishing the material.

The ideas behind the course

My published articles are background reading for this plan. The full lessons, activities and assessment material still need producing.

EXPLORE THE ACADEMY

See how the learning space feels.

Try the fictional learner demo →