Proceed
The central assumptions have enough support to scope implementation.
Explore MVP BuildResearch, prototypes and technical exploration before you commit to development.
Reveal a fictional observation to see how it changes the next prototype.
Evidence not yet reviewedThe central assumptions have enough support to scope implementation.
Explore MVP BuildAdjust the audience, journey or technical approach and test again.
Keep the evidence and avoid a build commitment that it does not support.

An opening film, image-led scrolling and a dedicated mobile experience.
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A shared-hosting application with encrypted document storage and a staff review console.
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Supplier-data scraping and AI engineering for a cross-border shopping and warehouse platform.
View projectA customer problem, access to relevant stakeholders and any existing research or product material. A detailed specification is not required.
Participant access and recruitment responsibilities are agreed in scope. We identify which user groups need to be represented before planning sessions.
No. A discovery prototype is used to test interactions and assumptions. Production implementation, hosting and operational work are scoped separately.
The decision may be to narrow the scope, change the journey, investigate further or stop. Discovery should make that choice more informed, rather than guarantee a build recommendation.
Yes. The agreed handover can include the evidence, prototype, backlog and technical decisions needed by your internal team or another delivery partner.
The number of user groups, uncertainty in the workflow, access to evidence and technical questions determine the scope. Dates and milestones are agreed after reviewing those inputs.
Bring the idea, your intended users and the assumption you are least certain about.
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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