Visit pass
Review a saved appointment card with location, time and preparation checklist.
Back to work
- Appointment concierge
- AI mobile concept
Queuebloom
An appointment companion for confirmation capture, source-backed questions and editable change requests.
Designed around4 AI workflows
Project overview
Queuebloom explores appointment concierge through a mobile experience built around a visit pass with large status card and bottom request sheet. An appointment companion for confirmation capture, source-backed questions and editable change requests. The proposed journey connects visit pass, booking reader, ask my visit, request review. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed .NET MAUI architecture.
The challenge
Visitors need to understand their saved booking and prepare questions without an assistant making unapproved changes. On a phone, the person also needs to capture information quickly, understand where an answer came from and return to the original material without navigating through a dense desktop interface.
- Keep visit pass and booking reader connected within a short mobile flow.
- Make confirmation extraction correctable when the model misreads the input.
- Explain preparation drafting through visible references or user-selected preferences.
- Keep changes, sharing and data retention under explicit user control.
Our solution
The design begins with a visit pass with large status card and bottom request sheet, using large touch targets, short task sequences and contextual sheets. Turn imported booking text into fields for confirmation. Answer questions from saved appointment details. The companion views keep drafts, original material and accepted decisions distinct. A peach, teal and white visual system gives this app its own character within the collection.
- Turn imported booking text into fields for confirmation.
- Answer questions from saved appointment details.
- Suggest a checklist based on venue-provided notes.
- Compose a change request without submitting it automatically.
Key features
Inside the platform
Keep appointment questions close to the visit.
Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.
Proposed technology stack
Proposed modernization architecture: .NET MAUI and C# for iOS and Android, with Xamarin shown as the legacy migration source. AI services and offline storage are design proposals; this portfolio entry is not a shipped application.
- .NET MAUI
- C#
- Xamarin (legacy)
- AI services
The results
The concept defines four mobile views, four AI workflows and twelve feature areas. The next validation would ask a user to complete visit pass, inspect the proposed booking reader output and correct an intentional extraction or suggestion error. Evaluation would focus on source traceability, correction effort and task completion. No usability study or business-impact measurement is claimed.
4Original mobile showcase views
4Proposed AI workflows
12Designed feature areas
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