Workflow System

The Problem to Product Workflow

A structured 10-step workflow I use to move from unclear product problems to product strategy, MVP scope, execution-ready documentation, prototype direction, launch planning, and learning review.

This page gives the abstracted version of the system: the steps I follow, the artifacts I create, and the frameworks I use to make product decisions visible.

02 · Snapshot

What the Workflow Produces

Four working outputs come out of any project that runs through the system, regardless of domain or stage.

Output 01

Product Clarity

A defined problem, user, segment, job, and why-now context that everyone can point to.

Output 02

Product Decisions

Documented strategy, opportunity hypothesis, success metric, and visible trade-offs.

Output 03

Execution Readiness

PRDs, user stories, acceptance criteria, scenarios, and prototype direction a team can build from.

Output 04

Learning Evidence

Launch monitoring, post-launch reviews, PMF checkpoints, and the next decision, recorded honestly.

10
Steps
60+
Artifacts
100%
Framework-Mapped
1:1
Case-Study Ready
03 · Decision Map

The Questions I Answer Before, During, and After Building

Every step exists to answer a specific product question. The map below shows which question belongs where.

StageProduct QuestionWorkflow Step
ProblemWhat real user problem are we solving, and why now?S01 · Problem Discovery
UserWho exactly is this for, and which segment are we deliberately not solving for?S02 · User & Segment
ContextHow do users solve this today, and what are the alternatives, substitutes, and constraints?S03 · Context & Market
StrategyWhat is the product bet, the opportunity hypothesis, and the success metric?S04 · Strategy & Hypothesis
RiskIs this feasible across business, technical, operational, and ethical dimensions?S05 · Feasibility & Risk
ScopeWhat is the smallest useful version, and what are the visible trade-offs?S06 · MVP Scoping
ExperienceHow does the user actually accomplish the job, including edge cases and error states?S07 · Experience Design
DocumentationCan a team build this from the document, end to end?S08 · Product Documentation
LaunchHow do we ship it, monitor it, and capture feedback?S09 · Execution & Launch
LearningWhat did we learn, and what is the next decision: iterate, pivot, pause, or sunset?S10 · Learning Review
04 · System Explorer

Step-by-Step

Open any step to see its purpose, decision focus, frameworks, artifacts, and how it shows up inside a case study.

Purpose
Identify a real user problem worth solving and protect the system from solution-first or technology-first thinking.
Decision Focus
Is this a real user problem, and is it worth solving now?
Frameworks
Problem StatementJTBDWhy-Now Rationale5 WhysClarification Frame
Artifacts
Problem StatementJTBD NoteWhy-Now RationaleAssumption ListProblem vs Solution Note
Case Study Proof
Opening block describes the user job, the painful current state, what was deliberately not assumed, and the initial evidence label.
05 · Artifact Library

Artifact Library

The concrete documents and outputs the workflow produces, grouped by stage. Click a tab to switch.

Problem Statement
S01 · Discovery
JTBD Note
S01 · Discovery
Why-Now Rationale
S01 · Discovery
Assumption List
S01 · Discovery
Problem vs Solution Separation
S01 · Discovery
Initial Evidence Label
S01 · Discovery
06 · Framework Index

Framework Index

The frameworks I lean on, grouped by the product decision they support.

F01Define the problem
Problem StatementJTBDWhy-Now Rationale5 WhysClarification Frame
F02Understand the user
Roman Pichler PersonaEmpathy MapCustomer Development InterviewTrust Tolerance Scale
F03Understand the market
Five C'sCompetitive AnalysisSubstitute Workflow MapValue Proposition Canvas
F04Define the product bet
Opportunity HypothesisHypothesis-Experiment-ResultStrategy Fit Memo
F05Choose metrics
North Star MetricAARRRGoal-Signal-MetricKano Model
F06Check feasibility
SWOTRisk RegisterFailure Mode AnalysisResponsible AI ChecklistData Inventory
F07Scope the MVP
MoSCoWRICEEffort vs ValueFuture Press Release
F08Design the flow
User Flow MappingEdge Case EnumerationUX Writing PatternsFallback Path Design
F09Document execution
PRD TemplateINVEST StoriesGherkin Acceptance CriteriaScenario Writing
F10Plan launch
Sprint PlanRelease ChecklistGTM PlanMonitoring Spec
F11Review learning
Post-Launch ReviewPostmortemPMF CheckpointLearning Log
07 · Output Map

How This Becomes a Case Study

Each case study section maps directly back to the workflow step that produced it.

Case Study SectionWorkflow Source
Problem SnapshotS01 · Problem Discovery
User & SegmentS02 · User & Segment
Research & AssumptionsS01, S02, S03
Product StrategyS03, S04
Risk & FeasibilityS05 · Feasibility & Risk
MVP Scope & Trade-offsS06 · MVP Scoping
User Flow & UXS07 · Experience Design
Documentation ExcerptsS08 · Product Documentation
Execution PlanS09 · Execution & Launch
Launch & MonitoringS09 · Execution & Launch
Learning & Next DecisionS10 · Learning Review
"How I Worked" NoteTool support disclosure across all steps
08 · Evidence System

How I Label Evidence

Every project gets an honest evidence label. The label tells you what stage the proof is at, not how impressive the headline sounds.

Level 01
Concept
Idea explored, problem framed, no validation yet.
Level 02
Researched
Problem, user, market, alternatives, and assumptions documented.
Level 03
Prototyped
Wireframes, clickable demo, or AI-led mock created to test direction.
Level 04
Built
Working MVP or technical prototype with documented scope and acceptance.
Level 05
Launched
Released or tested with real users, with launch and feedback channels in place.
Level 06
Measured
Learning captured through metrics, user feedback, and an explicit next decision.
09 · Tool Use Note

How I Use AI-Led Development in the Workflow

WHERE IT HELPS

AI-led development supports the workflow at specific points: research synthesis, documentation drafts, UI exploration, prototype scaffolding, internal tools, and technical probes. It speeds up the parts that benefit from speed.

WHERE IT DOESN'T

Final product judgment stays human-led. Problem framing, user understanding, scope decisions, trade-off calls, prioritization, and learning reviews are reasoned through and signed off by me, not by a tool. AI-generated material is treated as a draft that needs review, testing, and clear disclosure.

See the Workflow Applied

The system is most useful when you can see it inside real projects. Each case study runs through these same 10 steps with explicit evidence levels and trade-offs.