// MY_PROCESS

How I work_

Five phases, from first interview to post-release iteration (and where AI fits in)

researchideationproduct_designdeliveryfollow_up
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01 — phase

Research

What_i_do

Collect qualitative and quantitative data to understand the project context, users, behaviours, needs, usage and problems.

Goal

Turn scattered data and observations into clear, actionable insights and problem areas that can guide product decisions.

AI_in_this_phase

Organise and synthesise research data, and produce clear documentation and communication materials.

methods

User interviews
Usability testing
Analytics review
Existing research / documentation review
Personas
User journeys

tools

Notion
Miro
Google Analytics
FigJam

outputs

Research findings
Key insights
Pain points and opportunities
Personas
User journeys
Research repository / insight database
Research presentations
02 — phase

Ideation

What_i_do

Explore different solutions to the problems identified during research, from rough concepts to early flows and prototypes.

Goal

Explore, compare and test different directions to identify the most relevant solution.

AI_in_this_phase

Augment brainstorming, structure inspiration, explore flows and wireframes, and create rapid prototypes.

methods

Brainstorming
Design thinking workshops
Moodboards
Target user journeys
User flows
Wireframes
Rapid prototyping

tools

Claude
ChatGPT
Miro
Figma

outputs

Concepts
Moodboards
User flows
Wireframes
Early prototypes
Selected direction
03 — phase

Product Design

What_i_do

Turn the selected direction into a complete product experience by defining its structure, behaviours and visual language.

Goal

Create a coherent, intuitive and accessible experience that is ready to be implemented.

AI_in_this_phase

Improve flows, explore UI directions, and accelerate the creation of screens, components and states.

methods

Information architecture
Detailed user flows
UI design
Branding
Design systems
Accessibility
Prototyping

tools

Figma
Adobe Suite
Notion
Codex
Claude Code
Jira

outputs

Information architecture
Detailed user flows
UI screens
Interactive prototypes
Visual identity
Design system
Components and states
04 — phase

Delivery

What_i_do

Prepare the design for implementation and make sure the development team has the information needed to build it correctly.

Goal

Make implementation clear, efficient and faithful to the intended experience.

AI_in_this_phase

Produce and structure implementation documentation and make technical handoff information easier to communicate.

methods

Design documentation
Developer handoff
Design specifications
Design QA
Collaboration with developers

tools

Figma
Notion

outputs

Design specifications
Developer documentation
Handoff files
Design QA feedback
Implementation guidance
05 — phase

Follow-up & Iteration

What_i_do

Monitor how the product is used after release, collect feedback and identify what should be improved next.

Goal

Understand real usage and continuously improve the product based on evidence.

AI_in_this_phase

Synthesise feedback and analytics to identify patterns, priorities and opportunities for improvement.

methods

Analytics review
User feedback
Support feedback
Team feedback
Usability testing
Iteration

tools

Google Analytics
Miro
Hotjar
Jira
Figma

outputs

Insights
Behaviour patterns
Prioritised issues
Improvement opportunities
Product iterations
/* next */

See the process applied_

./projects ./contact