Product approach

A practical operating model for complex product decisions.

I use a structured but adaptable approach to identify high-leverage problems, align teams around explicit trade-offs and connect product decisions to measurable outcomes. The models and artifacts below demonstrate how I bring clarity to complex healthcare, automation and data-product environments.

  • Strategic judgement
  • Problem framing
  • Prioritisation
  • Creative problem solving
  • Systems thinking
  • Cross-functional alignment
  • Measurement discipline

Working product framework

The MIN–MAX Product Model

My working product framework for minimizing operational friction and maximizing measurable value.

MIN
MinimizeReduce drag on the system
  • Manual work
  • Workflow ambiguity
  • Duplicate activity
  • Operational risk
  • Time to decision
  • Data inconsistency
  • Unnecessary user steps
  • Rework
  • Product friction
  • Avoidable exceptions
MAX
MaximizeIncrease value and trust
  • Business value
  • User clarity
  • Automation reliability
  • Decision quality
  • Product adoption
  • System transparency
  • Operational efficiency
  • Measurable outcomes
  • Trust
  • Scalability

Minimize friction, uncertainty and manual work. Maximize intelligence, reliability and measurable value.

  1. 01Map
  2. 02Identify
  3. 03Normalize
  4. 04Model
  5. 05Automate
  6. 06Validate
  7. 07Expand

Product operating principles

Six principles for building trustworthy automation.

01

Understand Before Automating

Automation should follow a clear understanding of the workflow, not hide a poorly designed process.

02

Design for Exceptions

Failure states, retries, overrides, and ambiguity must be designed intentionally.

03

Make Decisions Explainable

Users should understand why a product prioritized, routed, assigned, or recommended an action.

04

Measure Outcomes, Not Output

Adoption, reliability, efficiency, quality, and business performance matter more than feature volume.

05

Preserve Human Judgment

High-impact automation should improve decisions without removing necessary oversight.

06

Treat Data Quality as Product Quality

A product cannot be trusted when its underlying data is incomplete, inconsistent, or poorly understood.

Discovery to optimisation

A product operating rhythm built around evidence.

Each phase produces a clearer decision—not simply more documentation.

  1. 01

    Opportunity

    Frame the business outcome and the decision that needs to improve.

  2. 02

    Discovery

    Observe users, validate the problem, and surface constraints.

  3. 03

    Workflow Mapping

    Make states, roles, handoffs, data, and exceptions explicit.

  4. 04

    Product Definition

    Translate evidence into behavior, requirements, and measures.

  5. 05

    Prioritization

    Sequence the highest-value learning and delivery.

  6. 06

    Delivery

    Partner closely across UX, engineering, data, and operations.

  7. 07

    Validation

    Test behavior, edge cases, readiness, and user understanding.

  8. 08

    Optimisation

    Use outcomes, adoption, and exceptions to expand intelligently.

Product artifacts

Artifacts as decision tools.

Fourteen fictionalised, public-safe specimens show the decisions each artifact enables—from roadmap sequencing and journey framing to workflow design, release control, risk and post-launch monitoring. Select any card to explore its distinct structure.

See the artifacts in context

Let’s build what matters

Looking for a product leader who can connect strategy, operations, automation, and technical delivery?

I bring the product judgment, technical fluency, healthcare expertise, and cross-functional leadership required to turn complex workflows into products that produce measurable value.