Prd V01 User Value Articulation logo

Prd V01 User Value Articulation

Community
mattgierhart
prd-v01-user-value-articulation

Transform validated pain points into articulated user value statements for PRD v0.1 Spark. Triggers on completing problem framing, defining user outcomes, articulating value propositions, or requests like "what value do users get", "define outcomes", "articulate the benefit", "finish v0.1", "pain to value", "what do they gain". Outputs CFD- entries tagged as value hypotheses with evidence tiers. Follows Problem Framing skill in workflow.

Overview

Publishermattgierhart
RepositoryPRD-driven-context-engineering
Skill nameprd-v01-user-value-articulation
Stars
179
Forks
11
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mattgierhart on GitHub. Read the source before you install it.

Installation

Install the Prd V01 User Value Articulation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mattgierhart/PRD-driven-context-engineering.git /tmp/PRD-driven-context-engineering
mkdir -p .claude/skills
cp -r /tmp/PRD-driven-context-engineering/plugins/prd-ce/skills/prd-v01-user-value-articulation .claude/skills/prd-v01-user-value-articulation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prd V01 User Value Articulation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Prd V01 User Value Articulation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Prd V01 User Value Articulation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

User Value Articulation Skill

Transform validated pain points into evidence-anchored value statements.

Workflow Position

Problem Framing → User Value Articulation → v0.2 Market Definition
     (pain)              (value)                  (who cares most)

Consumes

This skill requires prior work from v0.1:

  • **CFD-* entries (pain points, from Problem Framing) — Evidence for what problems users face
  • PRD.md Why section (problem statement table) — Context for pain-to-value transformation

This skill assumes v0.1 Problem Framing is complete.

Produces

This skill creates/updates:

  • CFD-* entries (tagged as value hypotheses) — Transformation of pain points into value statements, with confidence scoring
  • MVP scope signal — Identifies which value dimensions will drive MVP feature scope (handed to v0.3)

All CFD value hypothesis entries should include:

  • confidence: 2-3/5 (based on evidence tier from users or market)
  • Evidence tier (1-5 per value hierarchy)
  • Forward target: "Would move to 4/5 if we validate with beta cohort"

Example value hypothesis entry:

markdown
CFD-015: Value Hypothesis — Eliminate manual reconciliation workflow

Source Pain: CFD-001 (sales teams waste 5+ hours/week)
Evidence Tier: 2-3 (workaround + quantified cost)
Confidence: 3/5 (source: 3-customer-interviews-jan-2026)
Value Statement: "Reclaim 5 hours/week for strategic pipeline management"
Transformation: [5 hours wasted] → [5 hours available for growth]
Framing Type: Negative Removal (acute quantified loss)
Quantification: 5 hours/week = ~250 hours/year = $12,500 (at $50/hr)
Next Target: "Would move to 4/5 if we observe beta cohort using this feature"

Workflow Overview

  1. Receive pain points → Read CFD-IDs from Problem Framing
  2. Identify value unit → Time / Money / Risk / Capability
  3. Transform pain → value → Apply transformation pattern
  4. Anchor to evidence → What proof users want this outcome?
  5. Create CFD entry → Tag as value hypothesis with tier

Core Output Template

ElementDefinition
Pain (source)CFD-ID from Problem Framing
Value StatementOne sentence: what user gains
Value UnitTime / Money / Risk / Capability
QuantificationNumber with unit
Framing TypeNegative Removal / Positive Gain / Capability Unlock / Risk Reduction
Evidence Tier1-5 per hierarchy
Supporting CFDNew CFD-ID for value hypothesis

See assets/value-statement.md for copy-paste template.

Pain → Value Transformation

Pain PatternValue Pattern
"Costs X time""Reclaim X time for [higher-value work]"
"Costs $X""Save $X [or redirect to growth]"
"Risks $X penalty""Eliminate $X exposure"
"Cannot do X""Now able to X when [trigger]"
"Takes X steps""Complete in Y steps"
"Manual process""Automatic + verifiable"

Framing Type Selection

TypeWhen to Use
Negative RemovalPain is acute, quantified loss; "hate", "wasting", "losing"
Positive GainOpportunity cost clear; "I wish I could..."
Capability UnlockSomething impossible, not just hard; "We can't..."
Risk ReductionRegulatory/compliance; penalty amounts cited

Value Evidence Tier Hierarchy

TierDescriptionWeight
1User already paying for this value elsewhere✅ Highest
2User actively trying to achieve this outcome✅ Strong
3User articulates wanting this (unprompted)✅ Acceptable
4User agrees when prompted⚠️ Weak
5Builder assumes value❌ Reject

Gate rule: ≥1 value statement must have Tier 1-3 evidence before v0.2.

CFD Entry Format

CFD-###: Value Hypothesis — [Title]
Type: Value Hypothesis
Source Pain: CFD-###
Evidence Tier: [1-5]

Value Statement: "[User gains X measured in Y]"
Transformation: [Pain] → [Value]
Framing Type: [Type]
Quantification: [Number with unit]

See references/transformation-examples.md for worked examples.

Quality Gates

Pass Checklist

  • Every pain point has corresponding value statement
  • ≥1 value statement has Tier 1-3 evidence
  • All values quantified (time, money, risk, capability)
  • No feature-as-value statements
  • Value unit matches pain unit

Testability Check

  • Can explain value in <10 seconds to prospect?
  • Can test with landing page headline?
  • Value statement contains no features (no "dashboard", "tool")?

Anti-Patterns

PatternSignalFix
Feature as value"Dashboard", "tool", "feature" in statementRewrite as outcome
Unmeasurable"Better", "improved" without numberAdd quantity
DisconnectedPain unit ≠ value unitMatch units
Round inflation"Save 10 hours" no sourceRequire calculation
No evidenceNo CFD-ID for user desireDowngrade tier
Solution creepHOW (feature) not WHAT (outcome)Remove implementation

Bundled Resources

  • references/transformation-examples.md — 3 worked examples from real PRDs with step-by-step transformation process.
  • references/research-prompts.md — Deep research templates when value evidence is Tier 4-5.
  • assets/value-statement.md — Copy-paste template for value tables and CFD entries.

Handoff

Value articulation complete when quality gates pass. Combined with Problem Framing, v0.1 Spark is ready.

Next: v0.2 Market Definition (Who cares MOST about this value? Who pays FIRST?)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Prd V01 User Value Articulation AI skill do?

Transform validated pain points into articulated user value statements for PRD v0.1 Spark. Triggers on completing problem framing, defining user outcomes, articulating value propositions, or requests like "what value do users get", "define outcomes", "articulate the benefit", "finish v0.1", "pain to value", "what do they gain". Outputs CFD- entries tagged as value hypotheses with evidence tiers. Follows Problem Framing skill in workflow.

Why use Prd V01 User Value Articulation on TypingMind?

Because you install it once and use it with any model. Prd V01 User Value Articulation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Prd V01 User Value Articulation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/plugins/prd-ce/skills/prd-v01-user-value-articulation. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Prd V01 User Value Articulation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Prd V01 User Value Articulation?

As many as you like. As long as a model supports skills, you can use Prd V01 User Value Articulation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Prd V01 User Value Articulation AI skill free?

Yes. It is published on GitHub by mattgierhart under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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