Methods and learning

Web analytics: responsibilities and practical exercise

Define a measurement, check its collection and explain the reading limits.

These sheets describe activities and teaching exercises. They do not constitute job offers, certifying courses or recruitment promises.

All job descriptions

An exercise to practice

Distinguish consultation of form, attempt to send and request received.

Work on a copy or demo environment. Define the data used and the expected result before you begin. Keep your decisions and the difficulties encountered in order to be able to explain the process.

  1. Define events and what should be excluded from the data.
  2. Check triggers with test cases.
  3. Document periods, populations and collection breaks.
  4. Link a reading of the results to a limited and verifiable decision.

Deliverable and verifications

A measurement plan, collection checks and a table explained.

Indicators have a stable definition and collection anomalies are identifiable.

For each check, note the context, the action, the expected result and what has been observed. Distinguish a successful verification from a remaining hypothesis. Another person must be able to understand the deliverable without attending all its manufacture.

Use the Functional Validation Book

Points of vigilance and teamwork

An increase may be due to a change in collection or public. The measure must specify what it does not allow to conclude.

Collaboration to explore: SEO and visibility.

Specify the sharing of responsibilities: who provides the information, who decides, who checks and maintains the result. A good handover retains the constraints and decisions, not just the final file.

Employment, trades and training

Frequently asked questions

Does this exercise prove a professional qualification?

It allows you to show an approach and its limits. It is neither a diploma, nor a certification, nor proof of a production experience.

How to present the work in a portfolio?

Specify that this is an exercise, your role, constraints, decisions and checks. Use test data and media whose rights are established.

How to assess the quality of the deliverable?

Indicators have a stable definition and collection anomalies are identifiable. Add the difficulties encountered and what remains to be verified rather than presenting absolute validation.

resources to deepen

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