WHO IS IT FOR?
When this sounds familiar.
For businesses with data but no clear decision framework, or uncertainty about what changed after an improvement.
All services
SERVICE / 06
Analytics and optimisation
Measure the moments that matter to understand where visitors or workflows get stuck. Useful metrics and traceable improvements.
Let’s talk about your workflowWHEN TO START ELSEWHERE
Part of making a good decision.
When the purpose is unclear, we do not begin by collecting every click. We first define the business question and the minimum data needed.
01 — WORKING TOGETHER
Clear steps. Visible progress.
We clarify important questions early and build in small steps you can try and review.
- 01
Measurement plan
- 02
Events and privacy
- 03
Reports and verification
- 04
Experiments and refinement
From a decision question to an event plan
We first state the decision that measurement should support. Then we create an event dictionary with names, triggers, required properties, and validation methods. The sample report does more than display charts: it shows the baseline, comparison window, and which signal could justify a change.
Data quality before conclusions
We check missing, duplicate, and incorrect events, consent state, and whether compared periods are genuinely comparable. When data is not reliable enough, measurement is fixed first; no conversion improvement is promised without evidence.
TYPICAL BRIEF / EDUCATIONAL EXAMPLE
A practical measurement worksheet
The related guide includes a downloadable template for recording the baseline, effort, corrections, and comparison window.
SYNTHETIC EVENT AND REPORT OUTLINE
- Decision question
- Which content leads to a relevant enquiry?
- Event and condition
- contact_start — on the first manual field entry, after consent
- Data quality
- Internal test traffic, duplicates, and consent state checked separately
- Review
- After a comparable two-week window: fix measurement, test content, or make no change
This block illustrates a possible brief. It is not a previous reference or a verified business result.
A few things you might be wondering.
How does working together start?
With a conversation about a specific workflow. We look at its trigger, who works on it, where it gets stuck, and what better would look like. Then we suggest a next step and agree on scope, cost, and terms.
How much does a custom solution cost?
Cost depends on workflow complexity, integrations, data quality, and operational needs. After the initial discussion, we quote a defined scope. One-off development and expected running costs are considered separately.
How do we know it was worth it?
We choose relevant metrics and record a baseline before development. They may include manual effort, turnaround time, failed cases, or completed follow-ups. Afterwards, we compare equivalent periods to understand what changed.
What happens to our business data?
During planning we define what data is needed, who may access it, and where it may be stored. Before connecting an AI provider, we review its processing and retention terms separately. We use anonymised or synthetic samples for testing where possible.
Can we start with a smaller project?
Yes. A single well-defined workflow is often the best place to start. It helps verify business rules, technical feasibility, and expected value before building a larger system.
What happens after handover?
The system comes with documentation and a walkthrough. Maintenance, monitoring, and future improvements are agreed separately, so access, backups, and responsibilities are clear.
IT STARTS WITH A CONVERSATION
You need more than another tool.
You want a system that works.
Tell us how your team works. We will explore where things could be simpler.
Show us what slows you down