Connect storefront performance, customer behaviour and experiment design to a measurable problem.
Identify what delays a usable page in the journey that matters.
Images, theme assets and third-party scripts
Affected pages on agreed devices and connections
Product detail, functionality and visual quality
We inspect the affected journey and check whether its measurement can be trusted.
Share the slow pages, affected devices and available performance evidence.
Agreed scope · dependencies · acceptance criteria
We rank findings by customer impact, supporting evidence and implementation effort.
Choose the changes to implement and approve their success criteria.
We make the agreed theme, asset or measurement changes and verify the affected journeys.
Review the changes before they reach customers.
We compare the evidence and explain what to keep, revert or investigate next.
Agree the next action; improvements are measured, never guaranteed.
Planning options, not a fixed package. Features and handover are agreed for your project.
Brand-led design and interactive shopping tools for bags and everyday-carry accessories.
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A Shopify app combining heatmaps, session recording and AI-assisted behavioural insight.
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Shopify improvements connected with search, advertising and social media support.
View projectNo. We define the hypothesis, measurement and guardrails before changing the experience, then assess the evidence. A test can be inconclusive or show that the original experience is better.
The appropriate method depends on traffic, event quality and the size of the behaviour being studied. For low-volume stores, usability research and technical evidence may be more useful than a split test.
No. We consider the affected customer journey, real usage conditions and business measurement alongside technical diagnostics. A laboratory score alone does not establish a commercial outcome.
We first identify the affected journey and verify the measurement. Changes are prioritised and released against an agreed scope, with a way to compare or reverse them.
Yes. Event definitions, consent behaviour, missing or duplicated events and reporting assumptions can be included in the initial assessment.
We record the result and its limitations, retain or restore the appropriate experience and use the finding to inform the next decision. Failed hypotheses still need an honest readout.
Share the affected journey and the evidence you already have.
What our clients value about working with Daphnis Labs.
The team at Daphnis Labs redefined what’s possible for Urbanface. They delivered a bespoke, animation-heavy website that remains incredibly quick and functional. The…
We wanted a unique, 'one-of-a-kind' feel for Glareen, and Daphnis Labs delivered an ecosystem that is both beautiful and technically superior. Their expertise in…
The level of technical depth Daphnis Labs brought to our Game project is unparalleled. While the front-end reel games are visually stunning and highly engaging, the…
Practical perspectives on AI, product engineering, commerce and modern software delivery.
Measure recovery by restoring into an isolated environment and checking the application, roles and dependencies that need the data.
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Classify responses before caching them, make cache keys reflect their audience and test what happens when permissions change.
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Review database roles, background jobs and exports together when designing row-level security for a shared application database.
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Plan rollout, fallback behaviour and flag removal together so temporary release controls do not become permanent product complexity.
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Connect traces, metrics and structured logs around a real failure path so the team can locate an incident and choose a next action.
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Define permissions around concrete actions, and make an approval apply to the exact message or record that will be changed.
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Separate parsing, validation and approval so an ordinary spreadsheet upload does not become an opaque bulk edit.
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Give images, third-party scripts and interactions measurable limits, then investigate regressions by page template and device.
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Help people complete a form with persistent labels, specific errors, preserved answers and a clear confirmation state.
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Separate event receipt from order processing, record duplicate deliveries and recover work that stops halfway through.
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