ChatGPT’s dot: who owns the next move?
ChatGPT’s dot is designed to coordinate ongoing work across tasks. In my trial, one conversation helped me steer several jobs, but task ownership and dashboard findings still needed my scrutiny.
The Meeno Zen library
Questions worth
measuring.
Practical guides and considered analysis on measurement, analytics and applied AI. Ideas you can use in the work, and questions worth taking back to your team.
The collection
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Showing 1 to 7 of 7 articles
With ChatGPT Pages, Do I Still Need Notion?
Where ChatGPT Pages could replace a knowledge base, where dependable records and relationships still matter, and what I would test before moving an archive.
Why your dashboard and GA4 show different numbers
Compare a Looker Studio dashboard with a report inside Google Analytics 4, inspect what happened between retrieval and display, and record the next diagnostic check.
What OpenAI's Agents API actually gives you
Compare the managed Agents API, Responses API and Agents SDK through a proposed paid-search investigation, with clear tool, evidence and review boundaries.
An AI analyst can answer the wrong KPI perfectly
Define the decision, metric, scope and evidence before a fluent AI answer turns into a KPI. Includes a practical metric and question contract.
What you can actually measure about your visibility in AI search
Impressions, citations and visits answer different questions. Here is how to read the evidence without combining incompatible numbers.
Is AI actually saving time on your monthly marketing reports?
Compare the whole reporting process, including checking, corrections and approval. A practical guide with a blank comparison worksheet.
The work behind the writing
From the question
to the next decision.
My work connects stakeholder questions, measurement design, delivery and analysis. Explore the projects behind that practice.
Explore the case studies