Tejj speaking to a design audience at IBM

Human-centred

AI practice

The Art ofFinding theRight Problem

I go deep before I go wide: users, business, systems, constraints, and the future the product needs to create.

Enter the processRead the process
Meaning / 02

Problem

THE TRUTH BENEATH THE REQUEST: WHO NEEDS SOMETHING, WHAT IS BLOCKING THEM, WHY IT MATTERS NOW, AND WHAT MUST NEVER BE LOST.

Product

A USEFUL CHANGE IN BEHAVIOUR, MADE TANGIBLE THROUGH SYSTEMS, INTERACTIONS, TRUST, CRAFT, AND CAREFUL DELIVERY.

A person representing user research and listening
Mode 01

Observe

Listen before shaping.

A Phone Link product prototype
Mode 02

Make

Prototype before committing.

Tejj presenting Nodes of Design to a live audience

My process isnot a checklist.It is a way toturn uncertaintyinto direction.

SEVEN CONNECTED MOVES, BUILT TO HELP TEAMS UNDERSTAND THE PROBLEM, SHAPE THE EXPERIENCE, USE AI RESPONSIBLY, LEARN EARLY, AND SHIP WITH CARE.

01

Empathy

AI can generate options. Only people can understand pain, context, dignity, and what remains unsaid.

01
02

Clarity

Complex systems earn trust when they make the next step obvious and the consequences understandable.

02
03

Trust

Transparency, control, explainability, and graceful failure are part of the experience, not compliance notes.

03
04

Evolve

New tools matter only when they help us move closer to something genuinely useful and human.

04

Seven phases / one connected practice

Good products are shaped
by how clearly we see.

From ambiguityTo durable direction
Begin with the problem ↓
01 / Define

Define the
Problem

Name the tension before drawing the solution. Align who it serves, what must change, the constraints, the risks, and the proof of success.

Output / A shared problem worth solving.
01
02 / Listen

Understand
the User

Watch real behaviour. Listen for contradictions. Stay close long enough for the evidence to challenge the brief.

Output / Insight that changes the direction.
02
03 / Direct

Shape the
Strategy

Turn evidence into choices: what to prioritise, how the journey should flow, and where the product can create distinct value.

Output / A north star people can act on.
03
04 / Intelligence

Design
with AI

Decide where intelligence earns its place, where people stay in control, and how uncertainty, confidence, and failure become visible.

Output / AI people can understand and steer.
04
05 / Learn

Prototype
to Learn

Prototype the behaviour, not only the screen. Test responses, decisions, edge cases, fallback states, and the moments people need control.

Output / Answers before expensive commitments.
05
06 / Deliver

Ship
with Care

Stay close to the build. Protect the intent through trade-offs, review the real experience, measure behaviour, and keep refining.

Output / A shipped product that keeps its promise.
06
07 / Multiply

Teach the
Thinking

Teach the why, not just the artefact. Make the reasoning visible through workshops, walkthroughs, critique, and shared language.

Output / A team that can carry the thinking forward.
07
What remains

Human
judgment.

01Empathy cannot be automated.

02Clarity beats complexity.

03Trust is a design feature.

04Slow thinking builds fast products.

05Design is business thinking.

06Technology is a material, not a destination.