Editorial policy
Measurelab publishes blog posts, podcast episodes, video content, success stories and guides for analytics practitioners. This policy describes how we produce that content and how we correct it when we're wrong.
Who writes for us
Most of what we publish is written by Measurelab consultants working day-to-day with the tools and platforms we cover — Google Analytics 4, Google Tag Manager, BigQuery, Dataform, server-side tagging, AI agent governance, and adjacent areas. Guest contributions from clients, partners or the wider community are credited explicitly and reviewed by a Measurelab consultant before publication.
How we source and verify
Technical claims are grounded in first-party implementation experience or official documentation from the vendors whose products we cover. When we cite external research, benchmarks or statistics, we link to the primary source. When we share opinion, we frame it as opinion.
Editorial independence
Measurelab is a Google Cloud Partner and has commercial relationships with several of the vendors we write about. We don't take payment or inducement to publish specific views of specific products. Where a post discusses a product from a partner, we say so. Recommendations reflect what we'd tell a client in a private engagement, not what any vendor would prefer us to say.
Review and approval
Every post is read by at least one Measurelab practitioner other than the author before it goes live. Posts that make prescriptive technical recommendations are reviewed by someone with direct implementation experience of the subject matter.
Corrections
If we publish something that turns out to be wrong, we correct it in place and note the correction at the bottom of the post. If a correction materially changes the meaning of the original piece, we say what was wrong and what we changed. If you've spotted an error, please email hello@measurelab.co.uk — we'll acknowledge it promptly and correct the record.
AI-assisted writing
We use large language models in the drafting process for some content — for example to outline structure, summarise transcripts, or accelerate research. Every published piece is reviewed and edited by a Measurelab practitioner before publication. We treat AI as a writing tool, not an author. Nothing is published on this site that hasn't been read and approved by a human reviewer.
Machine-readable content
We publish a JSON-LD endpoint index at
/schemamap.xml, referenced from
robots.txt via the Schemamap:
directive. It points to per-type endpoints under /schema/
(posts, podcasts, videos, pages, organization) that expose the same
content surfaced on the site as structured data. AI agents and
research tools are welcome to consume these endpoints; the content
available through them is the same content a human reader sees.
Updates
This policy is reviewed annually. Material changes are noted at the bottom of this page.
Contact
Questions about this policy, or about a specific piece we've published, can go to hello@measurelab.co.uk.