Focus areas

Start with the business problem. Build with technology.

Every engagement connects a business need to an IT-enabled response. The need may come from marketing, operations, customer service, or another function; digitalization, data, automation, and systems integration provide the practical path forward.

01

Data analytics

Clarify questions, structure information, and develop insights that support decisions.

Example question
Which patterns should influence the organization’s next decision?
Possible output
Cleaned analysis file, reproducible notebook, interactive dashboard, and a concise decision brief.
02

AI exploration

Assess where AI can help, what it should not do, and how people remain in the loop.

Example question
Where could AI reduce manual work responsibly?
Possible output
Prompt workflow, automation script, small AI-assisted tool or demo, plus use-case and governance guidance.
03

Digitalization

Map opportunities to improve information flows, services, and everyday operations.

Example question
Which paper or spreadsheet handoffs could be redesigned?
Possible output
Digitized workflow, structured data template, lightweight internal tool or web app, plus an adoption roadmap.
04

Workflow improvement

Identify friction and propose clearer, more effective ways of working.

Example question
Where do delays, handoff failures, or rework occur?
Possible output
Redesigned workflow, automation-ready template or script, operating checklist, and implementation guidance.
05

Software prototypes

Test concepts through lightweight prototypes—not enterprise-scale production systems.

Example question
How might a proposed tool or service work before major investment?
Possible output
Working small web app or executable prototype, source files, user flow, and handoff notes.
06

Technology strategy

Compare options, trade-offs, risks, and practical next steps.

Example question
Which option best fits the organization’s goals and readiness?
Possible output
Decision model, executable proof of concept where useful, technical requirements, and implementation roadmap.

Representative engagement patterns

See what a focused project can make possible.

These anonymized patterns show how student teams, guided by faculty and informed by organizations, can turn a focused business question into practical analysis, a redesigned workflow, or a lightweight technology-enabled tool. Client names and identifying details are withheld.

Customer & marketing

Make customer signals easier to act on.

Bring together the information that helps teams improve communication, service touchpoints, visibility, and follow-through.

01

Stock & Story

A circular retail brand needs one shared view of inventory status and campaign readiness, so operations and marketing stop working from conflicting spreadsheets.

Possible output
Information flow, shared data template, internal prototype, readiness dashboard.
Student roles
Business analyst · Data contributor · Prototype developer
02

Member Loop

An industry learning community wants consistent member tags and event information to understand engagement without building a full CRM.

Possible output
Member journey, data hygiene rules, segmentation analysis, update-flow prototype.
Student roles
Marketing analyst · UX researcher · Data analyst
03

Local Discovery Studio

A business district wants to test whether a better directory and search experience would help visitors discover local services.

Possible output
User research, information architecture, clickable discovery prototype, testing plan.
Student roles
UX researcher · Content designer · Prototype developer
04

TableSignal

A restaurant wants to connect QR-enabled service feedback to table zones and shift windows to identify process improvements.

Possible output
Customer journey, privacy-aware data model, feedback prototype, aggregate service dashboard.
Student roles
Service designer · Data analyst · Web developer

Operations & workforce

Turn scattered handoffs into workable routines.

These patterns reduce friction in scheduling, staffing, internal records, and recurring management review.

01

Neighborhood Skills Exchange

A community learning network needs clearer coordination of sessions, facilitators, registrations, and event preparation.

Possible output
Process map, role definitions, activity-coordination prototype, preparation dashboard.
Student roles
Workflow analyst · UX designer · Prototype developer
02

ShiftFlow

A restaurant manages availability, role coverage, shift changes, and manager confirmation through chat and spreadsheets.

Possible output
Scheduling workflow, shift prototype, coverage dashboard, tool-selection guidance.
Student roles
Operations analyst · Designer · Web developer
03

TipLedger

A restaurant manually consolidates shift-based tip records and manager review sheets in Excel.

Possible output
Standard record template, import prototype, completeness checks, review dashboard.
Student roles
Data analyst · Process analyst · Dashboard developer

Data & service

Make service information useful without overreaching.

These patterns use non-sensitive or privacy-protected data to improve resource access, program learning, and information discovery.

01

First Contact Navigator

A city service alliance wants a non-sensitive way to organize general inquiries, resource categories, and follow-up status.

Possible output
Service blueprint, minimum data dictionary, follow-up queue prototype, trend dashboard.
Student roles
Business analyst · Service designer · Data contributor
02

Program Pulse

A distributed workshop program needs consistent participation and feedback data for recurring management review.

Possible output
Data standards, analysis workflow, descriptive dashboard, reporting guide.
Student roles
Data analyst · Visualization developer · Program researcher
03

Resource Shelf

A professional network needs a better way to catalog, tag, review, and surface shared guides and learning materials.

Possible output
Content audit, taxonomy, searchable concept prototype, governance workflow.
Student roles
Information architect · Content strategist · UX developer

Digital platforms & financial operations

Make recurring internal systems easier to manage.

These patterns address status visibility, recurring access, and structured exception follow-up—not payment processing or sensitive account handling.

01

VendorPulse

A platform business tracks service-provider monthly fees, payment status, and exception follow-up across disconnected records.

Possible output
Collection lifecycle, state model, scheduled-status demo, operations dashboard.
Student roles
Systems analyst · Dashboard developer · Integration researcher
02

Credential Compass

A professional team tracks internal learning and renewal dates across several spreadsheets.

Possible output
Data model, renewal rules, monitoring prototype, technology options brief.
Student roles
Data analyst · Workflow designer · Prototype developer
03

Request Desk

A multi-site workspace receives maintenance, setup, access, and vendor requests through chat and email.

Possible output
Request taxonomy, intake prototype, prioritization workflow, exception dashboard.
Student roles
Business analyst · Process designer · Developer

Automation & technology strategy

Connect information, automation, and human judgment.

These patterns explore practical automation and technology choices before an organization commits to a new system or workflow.

01

Campaign Data Bridge

A B2B team manually reconciles website, event, CRM, and content data before every planning meeting.

Possible output
Data dictionary, repeatable cleaning workflow, funnel dashboard, decision brief.
Student roles
Data analyst · Automation contributor · Marketing strategist
02

Reputation Radar

A multi-location service business wants one authorized review queue across social channels and Google Reviews, with AI-assisted draft responses.

Possible output
Review workflow, triage rules, AI draft-and-approval prototype, governance guidance.
Student roles
AI analyst · Marketing operations · UX designer
03

Field Notes to Insights

A service team records field work in unstructured notes and cannot compare recurring issues or follow-up needs.

Possible output
Structured record template, data-cleaning workflow, operational insight dashboard.
Student roles
Operations analyst · Data analyst · UX contributor
04

Decision Brief Builder

A professional team wants to compare spreadsheet improvements, SaaS, low-code automation, and AI-assisted work before making an investment.

Possible output
Task map, comparison matrix, concept demo, human-review guidance, phased roadmap.
Student roles
Technology strategist · AI analyst · Business researcher

About these patterns Each pattern represents a type of engagement and possible project direction. A participating organization, students, and faculty define the actual scope, tools, data access, and deliverables together.

For organizations

Bring a focused problem. Shape a practical response.

  • Clarify the business question and intended users
  • Provide appropriate context, feedback, and privacy-protected data when needed
  • Review practical outputs at working, midpoint, and final stages
Discuss a business problem

For students

Build professional judgment through useful work.

  • Analyze a real workflow and ask better business questions
  • Contribute research, data, design, automation, or a lightweight prototype
  • Present a clear recommendation and complete an agreed handoff
Explore student participation

These areas are starting points. The final approach follows the business need and the agreed project scope.

Have a question that does not fit neatly?

Working output, clear boundary

A project may produce a usable lightweight tool or executable file. Deployment, maintenance, security, integrations, and any transition toward a production system are agreed separately during scoping.