OverView

The problem is never lack of information. It's knowing what to do.
Operations teams manage complex, multi stakeholder processes across disconnected tools. StackFlow AI was designed to serve as the connective layer surfacing what matters, routing the right work to the right people, and using AI to reduce the administrative burden that slows teams down.

This is a concept project exploring what a modern, AI-native operations platform looks like when built for depth, not breadth.

The Problem

The average ops team uses 6+ tools to complete a single process
Each handoff between tools is a point of friction. Files get emailed, approvals get buried in Slack, and status updates require manual chasing. The result isn't just inefficiency it's systemic invisibility.

The average ops team uses 6+ tools to complete a single process

RESEARCH

Understanding the people, not just the problem
I mapped four distinct user archetypes across operations teams, each with different relationships to workflow management, information access, and time pressure. The research shaped both the information architecture and the AI features.

Competitive landscape

Information Architecture

Structure that matches how ops teams think
The navigation maps directly to how operations work actually flows from high-level visibility down to granular execution. Every section earns its place by solving a distinct job to be done.

Design principles

Solution

StackFlow
Each screen was designed to solve a specific user need while contributing to the larger goal of operational visibility and reduced tool-switching. No screen exists in isolation.

The operational command center

Overview Dashboard
The first screen after login surfaces everything that needs attention pending approvals, active workflows, open tasks, AI alerts, and key metrics. This was designed to answer 'what do I do right now?' in under 5 seconds.

The centerpiece of the product

Workflow Detail
A single view that replaces 4–5 tool switches. Documents, activity, approvals, collaborators, and AI summaries all exist within the workflow context — reducing context switching for everyone involved.

Flexible views for every working style

Task Management
Board, list let individuals and teams manage work the way they think. Tasks carry workflow context no more duplicate entries across tools.

A copilot, not a chatbot

AI Assistant
The AI Assistant proactively surfaces insights rather than waiting to be queried. It detects bottlenecks, summarizes documents, flags risks, and generates reports — reducing hours of manual work each week.

Visibility for leaders

Analytics
A centralized analytics layer gives managers and executives the operational confidence they need without requiring manual report generation. Risk indicators and team capacity are always current.

Design System

Built for data density and long sessions
Operations professionals live in their tools for 6–8 hours a day. The design system prioritizes legibility, low visual fatigue, and consistent patterns so interactions feel predictable and fast.

Outcomes & Impact

What StackFlow AI enables for teams
As a concept project, outcomes are projected based on the pain points identified in research and validated against industry benchmarks from operations efficiency studies. Each metric maps directly to a design decision.

Key design challenges

Reflection

What this project taught me
StackFlow AI was the most systems level design challenge I've taken on. Designing for operations meant dealing with governance, auditability, multi-stakeholder flows, and the question of where AI fits in high-stakes decisions.

The biggest shift was learning to design for organisational trust not just user delight. An ops platform that employees trust enough to rely on is worth more than one they think is beautiful but avoid.

Screens

Systems thinking over screen design
Each screen had to work as part of a system. A task in the Tasks view connects to a workflow. A workflow connects to an approver. An approver connects to a document. Design decisions in one section rippled through the others.

What I'd do differently
I'd run usability testing on the approval workflow specifically — it's the highest-stakes flow and the one where confusion is most costly. I'd also explore mobile for quick approval actions, which I left out of scope.