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.claude/commands/planning/1-mrd/1-start-session.md
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---
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allowed-tools: [Bash, Read, Write, Glob]
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description: Starts a new or updated MRD (Market Requirements Document) research session.
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---
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# Start MRD Research Session
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## Context
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- **User Request:** $ARGUMENTS
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- **MRD Directory:** `.taskmaster/docs/mrd/`
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- **Existing Sessions:** !`ls -ld .taskmaster/docs/mrd/*/ 2>/dev/null || echo "No existing sessions found"`
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## Goal
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To initialize a new or updated Market Requirements Document (MRD) research session, set up the dedicated workspace, and present the first research task to the user.
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## Process
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1. **Determine Session Index:**
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- Scan the `.taskmaster/docs/mrd/` directory to find the highest existing session index.
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- Assign the next sequential number for the new session.
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2. **Create Session Directory:**
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- Create a new directory named `[index]-[session_name]` inside `.taskmaster/docs/mrd/`.
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- Example: `.taskmaster/docs/mrd/001-mvp-launch/`
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3. **Handle Update Session (if `--from` is provided):**
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- Copy all `0*_*.md` user research files from the base session directory to the new session directory.
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- Generate a `_00_update_kickoff_report.md` file. This report will compare the goals of the base session and the new session, highlighting key assumptions that need to be re-validated.
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4. **Initialize Session State:**
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- Create a `_session-state.json` file in the new session directory.
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- Initialize it with session details (index, name, status: 'initialized', etc.).
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5. **Interactive Hypothesis Definition:**
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- This step is a structured conversation to build the foundational `01_initial_hypothesis.md`.
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- **For a new session:**
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- The AI will ask a series of clarifying questions to build the hypothesis, such as:
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1. "What is the core problem you are trying to solve?"
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2. "Who is the primary target audience for this product?"
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3. "At a high level, what is your proposed solution?"
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4. "What is the unique value proposition? Why will users choose it over alternatives?"
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- After gathering the user's answers, the AI will synthesize them into a coherent initial hypothesis.
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- The AI saves this synthesized content into the `01_initial_hypothesis.md` file.
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- **For an update session (`--from` is used):**
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- The AI first presents the key findings from the generated `_00_update_kickoff_report.md`.
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- It then asks for the user's input on the re-validation points. For example: "The report suggests we need to re-validate our target audience. Has your understanding of the target customer changed? If so, how?"
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- The user's feedback is incorporated to refine the session's starting assumptions, which can be noted in the kickoff report or a new hypothesis file.
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6. **Assign First Task and Generate Research Prompt:**
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- Based on the session's goal and initial hypothesis, the AI selects the most logical first research task from the examples below.
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- It clearly presents this task to the user, specifying the filename for the output.
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- **Crucially**, it must also generate a detailed, self-contained research prompt that can be used by any external agent or tool. This prompt should be presented to the user in a structured format.
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**Research Prompt Generation Template:**
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The AI will use the newly created `01_initial_hypothesis.md` to construct a prompt like this:
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```
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### Research Prompt: [Objective of the Task]
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**1. Project Context:**
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- **Product/Idea:** [Synthesized from 01_initial_hypothesis.md - e.g., "A platform connecting eco-friendly suppliers with small businesses."]
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- **Core Problem:** [From hypothesis - e.g., "Small businesses struggle to find and verify sustainable suppliers."]
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- **Target Audience:** [From hypothesis - e.g., "Owners of small to medium-sized retail businesses."]
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- **Proposed Solution:** [From hypothesis - e.g., "A curated, searchable marketplace with a built-in verification system."]
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**2. Research Objective:**
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- [A clear goal for this specific research task, e.g., "To deeply understand the competitive landscape for our proposed solution."]
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**3. Key Research Questions:**
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- [A list of 3-5 specific questions. For competitor analysis, it could be:]
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- Who are the top 3 direct and indirect competitors?
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- What are their pricing models and key features?
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- What are their primary strengths and weaknesses (SWOT)?
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- What market segment do they primarily target?
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**4. Expected Deliverables:**
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- A summary of findings.
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- Detailed answers to each key research question.
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- A concluding analysis of opportunities and threats for our product.
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```
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**First Research Task Examples:**
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- **Task:** "Define the target market size, segments, and create detailed user personas."
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- **Filename:** `02_market_and_persona.md`
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- **Task:** "Validate the core problem this product aims to solve and outline the proposed solution's unique value proposition."
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- **Filename:** `02_problem_and_solution.md`
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- **Task:** "Identify the top 3-5 direct and indirect competitors and analyze their strengths, weaknesses, and market positioning."
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- **Filename:** `02_competitive_landscape.md`
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- **Task:** "Brainstorm a list of potential core features that address the initial hypothesis and align with the target user's needs."
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- **Filename:** `02_initial_feature_ideas.md`
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- **Task:** "Define the key success metrics and Key Performance Indicators (KPIs) that will be used to measure the product's success."
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- **Filename:** `02_success_metrics.md`
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- After presenting the task and the detailed prompt, the AI will conclude with: "Once you have completed your research and saved it to the specified file, please run the `/planning/mrd/2-analyze-research-data` command to proceed."
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## Example Usage
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- **Start a new session:**
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`/planning/mrd/1-start-session --name="mvp-launch"`
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- **Start a session based on a previous one:**
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`/planning/mrd/1-start-session --name="enterprise-expansion" --from="mvp-launch"`
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