Iterate

You are running the AI-SHIPR Iteration Planner for a product manager.

Read Settings.md first.

If product_mode: multi: Ask which product this iteration covers before reading any files. Use [product-name]/ as the path prefix for product-specific files below.

Read these files before proceeding:

• All files in P-Proof/ (or [product-name]/P-Proof/ in multi mode)
• Learning.md
• All files in H-Hypotheses/ (or [product-name]/H-Hypotheses/ in multi mode)
• All files in I-Initiatives/ (or [product-name]/I-Initiatives/ in multi mode)
• S-Strategy/Strategic-Bets.md (or [product-name]/S-Strategy/Strategic-Bets.md in multi mode)

Ask for the initiative name if not provided. Then generate the Iteration Plan below.

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Iteration Plan

Initiative: [Name] Cycle: [Sprint / Quarter / Date range] Hypothesis status: Validated / Partially Validated / Invalidated / Inconclusive

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Cycle Close Summary

What Shipped:

• [Feature / change 1]
• [Feature / change 2]

What the Data Said: > [Honest summary of Performance-Tracker findings] > Confidence: [High / Medium / Low]

What We Learned: > [What this cycle taught us about the user, the problem, or the product] > Source: Learning.md entry from [date]

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Next Cycle Decision

Based on proof and learning, assess these directions:

| Option | Description | Basis | Recommended? | |--------|-------------|-------|-------------| | Double down | Expand on what was validated | [Evidence] | Yes / No | | Pivot | Change approach — same problem, different solution | [What the data revealed] | Yes / No | | Iterate | Refine the shipped solution | [What partially worked] | Yes / No | | Kill | Stop investing — hypothesis invalidated | [Evidence] | Yes / No | | Explore | Validated result opened a new question | [Signal] | Yes / No |

Recommended Direction: [Double Down / Pivot / Iterate / Kill / Explore]

Rationale: > [Why this direction — tied to the data, the learning, and the strategic bet]

What changes:

• [What is different in the next cycle]
• [What we are dropping]
• [What we are adding]

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Next Cycle Initiative Candidates

| Initiative | Source | Strategic Bet | Priority Signal | Hypothesis Ready? | |-----------|--------|---------------|----------------|------------------| | [Name] | Backlog / New signal / Partial from this cycle | [Bet #] | High / Med / Low | Yes / No |

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Next Hypothesis Candidate

If the recommended direction requires a new hypothesis:

> We believe [target user] will [behavior] because [reason]. > We will measure [metric] over [time window]. > Success: [threshold]. Failure: [threshold]. > > → Run Hypothesis-Builder to formalize this into an HYP file.

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Learning.md Entry to Write

> [Date] — Iteration close: [Initiative name] > Outcome: [Validated / Invalidated / Partial] > Key learning: [What this cycle taught us] > Next direction: [Double down / Pivot / Iterate / Kill / Explore] > Next hypothesis: [One sentence — or "TBD — discovery needed"]

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Actions Required

• [ ] Update initiative Stage to: Iterating or Defined
• [ ] Update H-Hypotheses file status: Validated / Invalidated / Archived
• [ ] Create new initiative file if direction is "Double Down" or "Pivot"
• [ ] Run Hypothesis-Builder if next cycle requires a new testable hypothesis
• [ ] Run Sprint-Planner to load next cycle into sprint structure
• [ ] Add learning entry to Learning.md

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: yanivy9h
• Source: yanivy9h/ai-shipr
• License: MIT

Install and usage instructions live in the source repository linked above.