Product strategy grounded in human behaviour

Focusing on personalisation.

Vibe while you browse
Vibe while you browse
cover image

/ Philosophy

Data-driven personalisation shouldn't feel robotic. With a background in design and strategy, I focus on the tension between human craft and algorithmic probability, ensuring that as underlying AI models evolve, the end user still experiences a cohesive, premium brand.

/ Principles

I work with these principles

  1. 1.

    What users click, save, and skip reveals more than what they can articulate.

    Behavioural signals over stated preferences
  2. 2.

    Designing for variance means building a buffer into your strategy. Instead of focusing on a single, rigid feature, I maintain a curated backlog of adjacent, solvable problems so the product can pivot without friction.

    Design for probabilistic systems
  3. 3.

    How something looks, sounds, and moves shapes whether users trust it, return to it, and recommend it.

    Aesthetic decisions are product decisions
  4. 4.

    Left alone, AI amplifies consensus, it scales the average faster. The original thinking still has to come from a person; AI multiplies intent, it doesn't manufacture it.

    The human is the source of intent, AI is the multiplier
  5. 5.

    Modularity is about speed and structural integrity. It allows us to isolate variables for rapid, targeted testing while keeping the overall system stable enough to scale.

    Modularity

/ FAQ

Ask away, start with a thread below.


Ask Yosh
Hi, I'm Yosh. I work on product strategy grounded in human behaviour. Ask me about any of these:

Product strategy grounded in human behaviour

Focusing on personalisation.

Vibe while you browse
Vibe while you browse
cover image

/ Philosophy

Data-driven personalisation shouldn't feel robotic. With a background in design and strategy, I focus on the tension between human preferences and algorithmic probability, ensuring that as underlying AI models evolve, the end user still experiences a cohesive, premium brand.

/ Principles

I work with these principles

  1. 1.

    What users click, save, and skip reveals more than what they can articulate.

    Behavioural signals over stated preferences
  2. 2.

    Designing for variance means building a buffer into your strategy. Instead of focusing on a single, rigid feature, I maintain a curated backlog of adjacent, solvable problems so the product can pivot without friction.

    Design for probabilistic systems
  3. 3.

    How something looks, sounds, and moves shapes whether users trust it, return to it, and recommend it.

    Aesthetic decisions are product decisions
  4. 4.

    Left alone, AI amplifies consensus, it scales the average faster. The original thinking still has to come from a person; AI multiplies intent, it doesn't manufacture it.

    The human is the source of intent, AI is the multiplier
  5. 5.

    Modularity is about speed and structural integrity. It allows us to isolate variables for rapid, targeted testing while keeping the overall system stable enough to scale.

    Modularity

/ FAQ

Ask away, start with a thread below.


Ask Yosh
Hi, I'm Yosh. I work on product strategy grounded in human behaviour. Ask me about any of these:

Product strategy grounded in human behaviour

Focusing on personalisation.

Vibe while you browse
Vibe while you browse
cover image

/ Philosophy

Data-driven personalisation shouldn't feel robotic. With a background in design and strategy, I focus on the tension between human preferences and algorithmic probability, ensuring that as underlying AI models evolve, the end user still experiences a cohesive, premium brand.

/ Principles

I work with these principles

  1. 1.

    What users click, save, and skip reveals more than what they can articulate.

    Behavioural signals over stated preferences
  2. 2.

    Designing for variance means building a buffer into your strategy. Instead of focusing on a single, rigid feature, I maintain a curated backlog of adjacent, solvable problems so the product can pivot without friction.

    Design for probabilistic systems
  3. 3.

    How something looks, sounds, and moves shapes whether users trust it, return to it, and recommend it.

    Aesthetic decisions are product decisions
  4. 4.

    Left alone, AI amplifies consensus, it scales the average faster. The original thinking still has to come from a person; AI multiplies intent, it doesn't manufacture it.

    The human is the source of intent, AI is the multiplier
  5. 5.

    Modularity is about speed and structural integrity. It allows us to isolate variables for rapid, targeted testing while keeping the overall system stable enough to scale.

    Modularity

/ FAQ

Ask away, start with a thread below.


Ask Yosh
Hi, I'm Yosh. I work on product strategy grounded in human behaviour. Ask me about any of these: