Connected Construction
- Problem —
- Project managers rescheduled around disruptions by hand, so one missed impact cascaded into delays and cost overruns.
- Solved by —
- One platform that flags crew, equipment, and schedule conflicts, then ranks AI-recommended fixes with their impacts.
- Impact —
- Managers resolve a high alert from their schedule in a few steps, a flow users called clear and intuitive.
- Role
- Sole UX/UI Designer
- Client
- Deloitte (end client under NDA)
- Deliverables
- Research, Information architecture, Wireframes, Journey maps, Interactive prototype
Process
01Discover
Turned a year of consultant research, SME input, and project manager interviews into the critical data points for every decision.
02Define
Workshopped general contractors’ jobs-to-be-done with the PM and SMEs, scoping an MVP around mitigating disruption.
03Design
Designed a schedule that monitors crew, equipment, and activities, raising alerts that open AI-ranked fixes in a side drawer.
04Test
Collaborative workshops streamlined how managers recognize and react to alerts; client demos of the resolve flow reshaped notifications.
Key decisions

- AThe candidate appears hatched on the live schedule, showing the fix’s ripple effect before anyone commits
- BConflicts are flagged on the schedule bar itself, with Resolve beside it, so action starts where the problem appears
- CAI ranks replacements and explains its top pick, so managers can trust the recommendation, not just accept it
- DOne primary action per candidate keeps decisions fast when the schedule is under pressure

- ABudget versus estimate in one bar, with overruns in red, so cost risk reads at a glance
- BNotifications lead with the action needed and its due date, so nothing waits on a manager to dig
- CHealth splits into overall, cost, and schedule, showing what kind of trouble a project is in
- DAlert counts show on collapsed rows, so problems surface without expanding every activity

- AWeekly columns line up every crew member and machine, making conflicts visible across the activity
- BCertification gaps surface on the affected bar, catching qualification mismatches before work starts
- CThe reason sits under each conflicted bar, so managers know why it failed before choosing a fix

- AEvery swap can be previewed against the schedule, so managers see downstream effects before approving
- BAI ranks every candidate; plain-language checks on capability, budget, and schedule explain each score
- CSelect Change stays primary and Preview secondary: a quick choice, with a safety check one click away

- AThe forecast updates with the pending change, so managers see whether the timeline recovers
- BThe alert count drops from three to two, confirming progress at a glance
- CSubmitted fixes show Pending Approval instead of applying silently, keeping controllers and estimators in the loop
What research showed
- 01
Weather, site access, and schedule conflicts ripple through tightly linked activities, so every change needs its impact shown.
- 02
Matching crew availability and qualifications to the workload was hard, and personnel gaps alone could derail a timeline.
- 03
With no view of equipment status, maintenance, or task suitability, gaps surfaced on site instead of in the plan.
Outcomes
10 weeks
Zero to MVP as the sole designer, from a year of consultant research
On track
AI-ranked fixes streamline disruption management, contributing to improved project delivery and customer satisfaction
One team
Managers, controllers, and estimators coordinate fixes in one place instead of siloed systems