Help people finish complex tasks with clear questions, reliable states and useful recovery. The engagement connects investigation to implementation, with a baseline, reviewed changes and clear acceptance criteria.
What’s included.
Three steps.
Understand
Agree the task, baseline, source systems and delivery boundary.
Build
Develop and review the code, configuration and integrations in scope.
Verify
Test representative cases, compare with the baseline and hand over.
Recognise the challenge?
Start with the problem you see. Explore what we can change, then open the implementation notes for the detail.
01Actionable customer form-error recovery
What you may be seeing
- Forms only say invalid input without explaining what is wrong.
- Customers lose answers when a validation error occurs.
- The form rejects legitimate names or addresses.
- Errors appear far from the field the customer must fix.
- People cannot recover after the server rejects their submission.
We help people understand an error, keep the information they entered and complete the next step.
Implementation & verification
We align frontend and backend validation with actual business acceptance rules and repair false rejections. We code field-specific messages, accessible error summaries and focus behavior while preserving valid answers. We distinguish correctable input errors from temporary service failures and provide the appropriate retry or support route. We test real invalid and valid submissions to verify that customers can recover and complete the task.
How we verify the work
- Trace the rejection to its actual business rule and identify legitimate excluded inputs.
- Use actionable reason codes and preserve data through correction and retry.
- Test server-only errors, multiple field failures and assistive-technology announcements.
- Measure error-to-success recovery, false rejection and abandonment after validation.
Tools considered for this work
Delivery: frontend/backend validation development + usability/accessibility QA. Code: shared validation schema or coordinated client/server rule definitions. Evidence: backend reason codes, field error events and masked session replay. QA: Playwright invalid/valid-input fixtures, axe-core and keyboard checks. Design: Figma error/loading/recovery states where layout changes are needed.
02Form and application usability
What you may be seeing
- Customers say our application form is too hard to finish.
- We ask for the same information several times.
- Questions appear in a confusing order.
- Conditional fields make the form feel much longer than necessary.
- Completed forms still require staff to chase basic details.
We simplify forms and applications around the information your business actually needs.
Implementation & verification
We redesign the form around the minimum information the business needs for a valid supported request. We code clearer question order, conditional fields, appropriate controls and permitted reuse of verified information. We integrate progress, saving and error recovery with the backend workflow so shorter forms still produce complete usable records. We test representative cases and measure correct completion rather than optimizing only the number of submissions.
How we verify the work
- Challenge each field against a genuine processing requirement and its earliest necessary point.
- Use progressive disclosure and explicit question wording without hiding important conditions.
- Validate conditional paths, save/resume and server errors against the final record schema.
- Measure valid completion, time on task, field errors and later staff clarification.
Tools considered for this work
Delivery: UX/research + form/frontend/backend development. Design: Figma full-form states and observed task testing. Implementation: existing form/application stack and shared validation rules. Tracking: field/step events in GA4 (Google Analytics 4)/PostHog with sensitive values excluded. QA: Playwright conditional cases, keyboard testing and accepted-record checks.
03Checkout and booking usability
What you may be seeing
- Customers find checkout or booking steps confusing.
- They are unsure whether they are selecting, reserving or paying.
- Reviewing or changing choices sends them back too far.
- Important costs or conditions are difficult to understand.
- A working transaction flow still loses customers through usability problems.
We make checkout and booking clearer, including totals, availability, payment recovery and confirmation.
Implementation & verification
We redesign the purchase or booking interaction around clear choices, review and confirmed commitment. We code understandable step states, editable summaries and appropriate fields while preserving the transaction rules in Self-Service & Workflows. We align price, availability and confirmation presentation with authoritative backend states. We test realistic completion and correction tasks, then evaluate design alternatives with A/B testing where feasible.
How we verify the work
- Separate selection, temporary hold, payment and confirmed completion in the interface.
- Make costs and change actions understandable before the final commitment.
- Test returning to previous steps and recovering from realistic transaction errors.
- Measure confirmed completion, customer corrections and cancellation/quality guardrails.
Tools considered for this work
Delivery: UX/frontend development + booking/commerce backend coordination. Design: Figma end-to-end transactional prototypes. Platform: existing checkout/booking components and permitted customization APIs (controlled connections between applications). QA: Playwright full journeys and observed mobile/desktop tasks. Measurement: verified order/booking data; GrowthBook/VWO for experiments.
04Customer portal and dashboard usability
What you may be seeing
- Customers cannot find records or actions in their account.
- Dashboards display many numbers without useful meaning.
- Routine tasks still require a call to staff.
- The portal is difficult to use on mobile.
- Important status changes and next actions are easy to miss.
We improve portals and dashboards so customers can find their records and finish routine tasks independently.
Implementation & verification
We redesign the customer portal around frequent account tasks and the information needed to complete them. We code clearer record views, status explanations, navigation and contextual actions using the existing authorized account APIs (controlled connections between applications). We align loading, empty, error and permission states with the real backend state so unavailable actions are explained accurately. We validate account-specific tasks and measure successful self-service completion and reduced avoidable support.
How we verify the work
- Prioritize the customer's recurring tasks rather than reproducing the internal staff dashboard.
- Use meaningful status, current records and server-authorized actions.
- Test empty/new, active, overdue and unavailable-data account states.
- Measure task success, time to locate information and avoidable support requests.
Tools considered for this work
Delivery: UX/frontend development + account/backend integration. Design: Figma portal task flows and representative account states. Implementation: existing app/account APIs (controlled connections between applications); Metabase embedding for suitable reports. Testing: Playwright account/access matrix and real customer tasks. Evidence: PostHog/GA4 (Google Analytics 4) task events and support contact categories.
05Clear error, loading and confirmation messages
What you may be seeing
- Customers cannot tell whether the page is still loading.
- A spinner runs forever without a useful next step.
- Success messages do not say what was completed.
- An error leaves people unsure whether they should try again.
- Status messages are invisible to screen-reader users.
We make waiting, failure and success states clear, with an appropriate next action and no misleading confirmation.
Implementation & verification
We define understandable interface states for each important asynchronous customer action. We code honest progress, completion and recovery messages tied to durable server outcomes rather than optimistic presentation alone. We preserve entered information and distinguish retry-safe failures from unknown transaction outcomes. We validate timing, focus and screen-reader announcements across slow, failed and interrupted operations.
How we verify the work
- Model pending, accepted, completed, failed and unknown outcomes explicitly.
- Tie success to durable acceptance and offer a safe status lookup before retrying uncertain writes.
- Test long waits, late responses, keyboard focus and status announcements.
- Measure correct recovery, duplicate actions and customer uncertainty-related contacts.
Tools considered for this work
Delivery: frontend/state-management development + backend status integration. Design: Figma state inventory and concise approved messages. Implementation: existing UI components, status endpoints and ARIA live regions where appropriate. QA: Storybook states, Playwright delayed/failed response fixtures and manual assistive-tech checks. Measurement: recovery/completion events and error/status-related support categories.
Make progress easier to keep.
We connect forms to validation, saved progress and clear recovery steps. Where helpful, AI can explain a requirement in plain language, while the application verifies the actual data and transaction rules.
Explore the technical toolkit
Selected around your existing stack, licences, permissions and agreed scope.
Define what better means.
Completion
Can people finish the intended task correctly?
Clarity
Do customers understand the offer and the next step?
Inclusion
Verified keyboard, screen-reader and mobile task behaviour.
Targets follow the baseline. These are measurement areas, not promised results.
Engineering terms, explained
- Grounded AI / RAG
- An assistant retrieves relevant approved evidence before generating an answer. Access controls and evaluations still need to be engineered and tested.
- Idempotency
- Retrying the same operation does not create an extra order, payment or record.
- Controlled experiment
- A concurrent comparison of assigned variants, with a defined outcome, observation window and decision rule.
- Core Web Vitals
- Measures of main-content loading, responsiveness to interaction and visual stability.
Technical references: Web Vitals · Azure document access · Structured data guidelines.
Quick answers.
Do you deliver designs or working software?
Both can be included. We can research and prototype, then implement the approved interfaces in your application with your engineering team. The proposal specifies the delivery boundary.
Will you redesign the whole product?
Only if the evidence supports it. We can improve one important journey and extend reusable patterns from there.
Do you work beyond ecommerce?
Yes. This work applies to software products, customer portals, service businesses, booking systems, internal tools and digital commerce.