How I work

My
Approach

I specialise in rapidly converting unclear problems into validated solutions. Rather than spending months planning, I focus on building, testing and learning as quickly as possible.

Question
Prototype
Test
Learn
Improve
continuouscycle

01 — Start

Begin with a first proposal.

Every project starts with making the problem tangible. I quickly create three concepts, sketches, mockups or prototypes to facilitate discussion and expose assumptions. Making something visible breaks the blank-page problem and forces real decisions.

Melles MCMF eerste voorstel

Example

Melles MCMF: three concepts as a first proposal

Sketch

Rough concept

Mockup

Visual structure

Prototype

Working solution

1

Idea

2

MVP

3

User
feedback

4

Iterate

5

Launch

02 — Build

Build the smallest usable version.

Rather than designing everything upfront, I focus on building a testable MVP that generates learning moments as quickly as possible. Every unvalidated feature is a guess. The MVP is the cheapest way to find out whether the guess is worth making.

MVPRapid PrototypingProof of ConceptValidation
Kartonnen Lume prototype

Example

Lume: the smallest usable version in cardboard

03 — Iterate

Iterate based on feedback.

Real learning happens when concepts meet reality. User feedback, stakeholder input and technical constraints steer the next iteration. The goal is not to be right the first time — but to be wrong less quickly.

Melles ontwerpiteratie

Example

Melles MCMF: short iterations with visible progress

Research
Design
Engineering
Electronics
Architecture
AIassistant
ServerDatabasesQRChromecastEmbedded

04 — Accelerate

Use AI to accelerate exploration.

AI is deployed as a thinking partner, engineering assistant and research accelerator. It enables rapid exploration of unfamiliar domains and speeds up the transition from concept to implementation — in hours what would otherwise take weeks.

Server architectureDatabasesQR systemsChromecastElectronicsEmbedded systems
Melles eerste conceptprototype

Example

Melles MCMF: using AI to explore directions quickly

05 — Learn

Learn what is needed.

When projects require new expertise, I learn the necessary skills on demand. The goal is not expertise for its own sake, but solving meaningful problems. Each project expands what becomes possible in the next.

SwiftUI developmentVR developmentElectronics prototypingBackend systemsAI integration
Lume EasyEDA circuittekening

Example

Lume: learning PCB design when the project needs it

PROJECTSSKILLS
Melles MCMF
Lume
HappyDay
SwiftUI
VR Dev
Electronics
Backend
AI Integration
Insights
Decisions
Failures
Discoveries
Patterns
Next project

06 — Document

Document and share insights.

Every iteration generates knowledge. Capturing decisions, failures and discoveries helps improve future projects and make better decisions. What is documented becomes reusable. What is shared becomes leverage.

HappyDay marktanalyse

Example

HappyDay: documenting research and decisions

Melles MCMF slide deck preview

Example

Melles MCMF: documenting insights in a slide deck

Build fast.
Learn fast.
Continuously improve.

The goal is not to create perfect plans. The goal is to reduce uncertainty through rapid experiments and evidence-based decision making.