When this helps
You want more of the right people to complete a meaningful task, such as an enquiry, booking or checkout. Start with a trustworthy baseline and a clear definition of success.
What you receive
A measurement review, evidence-backed hypotheses, prioritised investigation and an experiment or verification plan.
Check the baseline before interpreting it
An event count may reflect a click, a form attempt or a confirmation page view. None of those automatically establishes a qualified enquiry or payment. We map the journey and check which events represent a meaningful completed action. Duplicate events, missing consent coverage and bot traffic can distort the starting point.
Commercial evaluation should distinguish the number of enquiries from their relevance and eventual outcome. A shorter form may increase submissions while leaving the business with more unsuitable requests. The measurement plan should capture enough context to evaluate that tradeoff without collecting unnecessary personal information.
Turn a suspicion into a hypothesis
A hypothesis identifies the audience, the difficulty, the proposed change and the expected mechanism. For example, a delivery-cost explanation may help shoppers decide whether to continue, but the effect must be investigated rather than assumed. Evidence from an expert review, participant study and analytics can support different parts of that explanation.
When experimentation is feasible, agree the primary measure, guardrails and analysis plan in advance. Avoid stopping an experiment simply when a favourable number appears. If volume or measurement quality is insufficient, say so and choose a more suitable way to reduce uncertainty.
Optimise for a useful outcome
The aim is a journey that helps people make an informed choice. Avoid pressure patterns, hidden costs or ambiguous consent. Improvements should make the offer clearer and the task easier, while preserving accessibility and the ability to decline. Implementation remains with your chosen team; any later research or retest is scoped separately.
How the engagement runs
- Discuss what you need to learn, who uses the service and what you already know.
- Agree the research activities, access requirements, deliverables and what is included in the proposal.
- Carry out the research and explain both what we observed and what we think it means.
- Walk your team through the findings, prioritise improvements and agree what needs a follow-up check.
Cost and timing
Reliability of existing measurement, journey scope, traffic volume, access to analytics and the feasibility of experimentation. The proposal states the scope, fee basis and dependencies. Recruitment, stakeholder availability or access to a test environment can affect the calendar; no fixed turnaround is assumed before these are understood.
What to bear in mind
Conversion uplift is not guaranteed. When traffic is too low for a credible experiment, qualitative research and direct usability checks may be more useful.
Your team receives recommendations it can discuss and implement with its chosen supplier. Where another method would answer the question better, we explain why before proposing additional work.