define-hypothesis
Defines a testable hypothesis with clear success metrics and a validation approach. Use when…
Day 1 morning move of a Foundation Sprint. Forces explicit team choices on target customer, important problem, team advantage, and competitors and alternatives. Produces a single coherent strategic frame that becomes the input to Day 1 afternoon Differentiation. Use after the
$ npx -y skills add product-on-purpose/pm-skills --skill tool-foundation-sprint-basics --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/tool-foundation-sprint-basicsContext preview
The summary Claude sees to decide when to auto-load this skill.
Day 1 morning move of a Foundation Sprint. Forces explicit team choices on target customer, important problem, team advantage, and competitors and alternatives. Produces a single coherent strategic frame that becomes the input to Day 1 afternoon Differentiation. Use after the
name: tool-foundation-sprint-basics
description: Day 1 morning move of a Foundation Sprint. Forces explicit team choices on target customer, important problem, team advantage, and competitors and alternatives. Produces a single coherent strategic frame that becomes the input to Day 1 afternoon Differentiation. Use after the sprint brief is signed and Day 1 morning is scheduled. Bundled artifact, not four separate decisions.
license: Apache-2.0
metadata:
classification: tool
version: "1.0.0"
updated: 2026-07-04
tool: foundation-sprint
move: basics
category: problem-framing
frameworks:
- foundation-sprint
- click
- character-note-and-vote
timebox_minutes: 105
roles:
- facilitator
- decider
- pm
- customer-expert
prerequisites:
- tool-foundation-sprint-brief
inputs:
- sprint brief
- existing customer and market context packet
- competitor and alternatives knowledge
- team advantage notes
outputs:
- target customer statement
- important problem statement
- team advantage inventory
- competitor and alternative map
- note-and-vote trace per decision
author: product-on-purpose<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
Day 1 morning of a Foundation Sprint. The team makes four foundational choices explicit: who the product is for, what important problem it solves, why this team has a right to win, and what customers do today instead. The output is one coherent strategic frame, not four separable decisions.
Family contract: [`docs/reference/skill-families/foundation-sprint-skills-contract.md`](../../docs/reference/skill-families/foundation-sprint-skills-contract.md). This skill is a member of `foundation-sprint-skills`.
A single bundled artifact with five sections:
1. **Target customer statement**: a specific, named customer with markers (demographic, behavioral, contextual). 2. **Important problem statement**: a customer-perceived pain strong enough to drive switching from alternatives. 3. **Team advantage inventory**: the capabilities, insights, relationships, data, and timing edges that make this team credible against the problem. 4. **Competitor and alternative map**: direct competitors, substitute workflows, manual workarounds, internal tools, and the strongest baseline of all: doing nothing. 5. **Note-and-Vote trace**: a record of how each sub-decision was made, including alternatives considered and Decider rationale.
The artifact is treated as one coherent output, not four separate ones. The team signs off on the bundled frame, not on the components in isolation. See `references/TEMPLATE.md` for the canonical structure and `references/EXAMPLE.md` for the Brainshelf example.
Each sub-decision uses `tool-note-and-vote` (the silent ideation + voting + Decider supervote protocol). The skill structures the sequence but the decision protocol is the standalone note-and-vote tool.
The team produces 3-7 candidate customer descriptions through silent ideation, then votes, then the Decider supervotes one. The chosen customer MUST be specific (not "SaaS PMs" but "PMs at Series-B SaaS companies between 20 and 100 engineers"). The skill rejects vague segments and prompts the team to add markers until the description names someone the team can recognize.
The team names 3-7 candidate pains the chosen customer experiences. Vote, then Decider supervote. The chosen problem MUST be painful enough to drive switching from current behavior (including doing nothing). Mild annoyances are not Important Problems; the skill enforces this by asking explicitly: "What does the customer currently do, and why would they leave it for our solution?"
The team enumerates its specific edges: capabilities, insights, relationships, data, technology, distribution, timing. Vote to surface the top 2-3 (multi-vote), Decider confirms. The skill rejects generic advantages ("great team," "passionate") and prompts for specific evidence ("Sam previously built X at Y company"; "Riley has a 12k-member network in our target segment").
The team maps the full alternative space: direct competitors, substitute workflows, manual workarounds, internal tools, and "do nothing." For each, the team notes what customers use it for and why people leave (or stay). The skill enforces inclusion of "do nothing" as a competitor; many teams forget that inertia is often the strongest alternative.
| Input | What the skill does with it | |---|---| | Sprint brief | Reads the Decision Target to scope which customers and problems are in-scope; out-of-scope candidates are flagged before voting | | Customer/market context packet | Pre-populates the silent ideation b
68 plug-and-play, best-practice product management skills for AI agents: 30 Triple Diamond phase + 11 foundation + 12 utility + 15 tool (Foundation Sprint + Design Sprint). Plus 6 sub-agents, workflows, 200+ output samples, guides, and CI-enforced contracts. Apache 2.0.
Repo: product-on-purpose/pm-skills
Defines a testable hypothesis with clear success metrics and a validation approach. Use when…
Creates a Jobs to be Done canvas capturing the functional, emotional, and social dimensions…
Creates an opportunity solution tree connecting a desired outcome to customer opportunities…
Run applicable prioritization frameworks (RICE, ICE, MoSCoW, Weighted Scoring, Kano) against…
Creates a clear problem framing document with user impact, business context, and success…
Generates structured Given/When/Then acceptance criteria for a user story or feature slice,…