Web Analytics · Dashboards & Reporting
Data Storytelling & Decision Briefs
One question, one brief, and a plain line between what the evidence shows and what it only suggests.
A pile of charts does not help anyone make a decision. We start with a specific question, test the obvious alternative explanations, and write a brief that keeps observed evidence separate from interpretation. You end up with a concise decision brief that states the recommendation and makes the remaining uncertainty visible.


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See all referencesHow we run it
We write the recommendation only after testing the alternatives.
The analysis comes first. The narrative has to account for findings that complicate the initial explanation. Editing them out isn't an option. Four steps turn a defined question into a brief that can support a decision.
How we hold ourselves to it
- Pin down the actual question — We agree on the decision the analysis must inform, keeping the work focused instead of letting it expand into open-ended exploration.
- Could a segment, a season, or a tracking bug explain this instead? — Before choosing an explanation, we check whether segmentation, seasonality, or a tracking issue could account for the same movement.
- Observation and interpretation get written down separately — The brief distinguishes what the data shows from how we interpret it, so you can judge each on its own terms.
- The recommendation ships with a way to check if it worked — The recommendation is specific and reversible, with a follow-up measure that shows whether it worked.
Frame the question
We define the decision this analysis must support and what a useful answer needs to establish. The decision owner confirms this is the real question.
Analysis brief


Do the analysis
We validate the data, examine relevant segments, and test alternative explanations before drawing a conclusion. An analyst decides which alternative explanations survive.
Analysis workbook


Write the brief
We draft a concise document with clearly separated observations, interpretations, and recommendations. A second analyst checks the interpretation isn't overstated.
Decision brief


Walk it through with the decision owner
We walk the decision owner through the brief, address challenges, and confirm that the recommendation is usable. The decision owner confirms the recommendation is usable.
Decision record


We test the ordinary explanations before committing to a more interesting one.
Automation drafts the candidate question, runs the segment and seasonality checks, writes the observation section from the workbook, and prepares the objections we should expect. Interpretation is not delegated: an analyst decides which alternative explanations survive, and a second one checks the brief does not claim more than the data earns.
What you get
A memo built for action, short enough that nobody has to decode a deck first.
The deliverables keep the conclusion traceable without making you interpret a wall of charts.


Memo
Decision brief
A short document with the observation, the interpretation, the uncertainty, and a specific recommendation.


Working document
Analysis workbook
The underlying queries and checks, so anyone can verify the conclusion or pick up the analysis later.


Reference document
Follow-up plan
What to watch after acting on the recommendation, so you'll know if it actually worked.
We call it done when: a second analyst has reproduced the core result and the brief's wording has been checked against the strength of the evidence.
Fit and readiness
A number moved, but nobody can explain it well enough to act.
This work is useful when the question is narrow, the decision is real, and the underlying data is sound.
A good fit when
- You have trustworthy data but a specific number moved and nobody can explain it clearly enough to act on.
- You need a one-off analysis for a real decision, and the brief must separate observation, interpretation, and uncertainty before anyone acts.
- A recommendation needs to be traceable to evidence someone can point to. A gut feeling that sounded right in a meeting doesn't count.


Better handled as other work when
- You need a recurring dashboard for an ongoing decision. That is Looker Studio Dashboard Development.
- Your underlying data quality is the actual problem rather than the interpretation of it. Start with a GA4 audit or reporting validation instead.
If one of these is closer to your situation, start here instead: All Analytics Dashboards & Reporting tasks
We call it done when: the decision owner has confirmed the question we are answering is the one they actually need answered.
People who build your measurement system
Zeo designs measurement systems that connect a business decision to governed collection and reporting you can check. The people shown here work on the part of that system this page covers.

Samet Özsüleyman
SEO Manager

Zafer Yıldız
Web Analytics Manager

Abdullah Tanıdır
Performance Marketing Team Lead

Mirzamin Aghazada
UI/UX Designer

Serap Yurtvermez
Performance Marketing Team Lead

Sevda Yurtvermez
Performance Marketing Team Lead

İlker Emir
Senior Performance Marketing Executive

İpek Ezer
Performance Marketing Executive

Onur Durdağı
Performance Marketing Executive

Deniz Çağın Demirci
Frontend Developer

Yağmur Bayram
Sr. SEO Analyst
Tools we use
Tools behind this work
Google Analyticswhere each ordinary explanation gets checked as its own segment before a more interesting one is trusted
Jupyterthe notebook a second analyst reruns to reproduce the finding, not just read about it
Looker Studiothe dashboard the brief pulls evidence from, not the deliverable the brief replaces
Next step
Get an answer you can make a decision with


Before we start
Questions teams ask before booking
How is this different from a dashboard?
A dashboard answers a recurring question over and over. This is a one-off, deeper analysis for a specific decision that needs a clear answer now, with the reasoning laid out.
What if the data can't actually answer the question?
We'll tell you that plainly rather than force a conclusion the evidence doesn't support. Sometimes the honest answer is what additional data or test you'd need instead.
How do you avoid just finding the story we want to hear?
We define the question before looking at results and actively check alternative explanations. A second analyst reviews the brief before it reaches you.
What do you need before writing the story?
Access to the relevant data, the specific business question at stake, and time with the decision owner to walk through the brief once it's ready.





















































