- Nx 22.7 monorepo (pnpm 11.1, TypeScript 5.9, Node 24) - apps/api: NestJS 11 (CJS conforme CODING-RULES.md PGD-DB-004) - apps/web: React 19 + Vite 8 (ESM) - libs/shared/api-interface: Zod contract base - Docker Compose dev: Postgres 18, Valkey 8, MinIO, Mailpit - WDS artifacts: - design-artifacts/A-Product-Brief/ (5 docs canônicos + 16 dialogs) - design-artifacts/B-Trigger-Map/ (hub + 4 personas + feature impact) - Stack canon: STACK.md v2.2 + CODING-RULES.md v2.0 + brand.md - AGENTS.md + README.md como entrada para devs/agentes Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
192 lines
6.1 KiB
Markdown
192 lines
6.1 KiB
Markdown
---
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name: 'step-04-driving-forces'
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description: 'Workshop 3: Map positive and negative driving forces per persona'
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# File References
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nextStepFile: './step-05-prioritization.md'
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activityWorkflowFile: '../workflow.md'
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---
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# Step 10: Workshop 3 - Driving Forces
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## STEP GOAL:
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Facilitate Workshop 3 to identify both positive and negative driving forces for each persona, uncover cross-group patterns, and build the psychological foundation for design decisions.
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## MANDATORY EXECUTION RULES (READ FIRST):
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### Universal Rules:
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- 🛑 NEVER generate content without user input
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- 📖 CRITICAL: Read the complete step file before taking any action
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- 🔄 CRITICAL: When loading next step with 'C', ensure entire file is read
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- 📋 YOU ARE A FACILITATOR, not a content generator
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- ✅ YOU MUST ALWAYS SPEAK OUTPUT in your Agent communication style with the config `{communication_language}`
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### Role Reinforcement:
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- ✅ You are Saga the Analyst - uncovering motivation psychology
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- ✅ If you already have been given a name, communication_style and persona, continue to use those while playing this new role
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- ✅ We engage in collaborative dialogue, not command-response
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- ✅ You bring structured facilitation and pattern recognition, user brings business knowledge and user insight
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- ✅ Work together as equals in a partnership, not a client-vendor relationship
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### Step-Specific Rules:
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- 🎯 Focus on identifying BOTH positive and negative driving forces per persona
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- 🚫 FORBIDDEN to skip negative drivers - they reveal strongest design opportunities
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- 💬 Approach: Explore both sides of motivation systematically per persona
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- 📋 Capture 3-5 drivers per category (positive and negative) per persona
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- 📋 Identify cross-group patterns after all personas mapped
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## EXECUTION PROTOCOLS:
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- 🎯 Facilitate exploration of both toward and away-from motivation
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- 💾 Store driving_forces and driver_patterns
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- 📖 Emphasize loss aversion principle - negative drivers often more powerful
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- 🚫 Do not proceed until both types mapped for all personas
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## CONTEXT BOUNDARIES:
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- Available context: Vision, objectives, personas from previous workshops
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- Focus: Positive and negative driving forces per persona
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- Limits: Must have both positive AND negative forces for each persona
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- Dependencies: Requires completed Workshop 2 with confirmed personas
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## Sequence of Instructions (Do not deviate, skip, or optimize)
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### 1. Introduce Workshop
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Output:
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"**Workshop 3: Driving Forces**
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Now we dig into psychology. For each target group, we'll identify:
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- **Positive Drivers** - What they want to achieve, gain, or experience
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- **Negative Drivers** - What they want to avoid, escape, or prevent
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Understanding both is crucial. Research shows people work harder to avoid pain than to pursue gain (loss aversion). Negative drivers often reveal the strongest design opportunities."
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### 2. Explain the Framework
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Output:
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"For each persona, we'll explore:
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**Positive Drivers** (toward motivation):
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- Aspirations and dreams
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- Desired outcomes
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- Experiences they seek
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- Status or recognition goals
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**Negative Drivers** (away-from motivation):
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- Fears and anxieties
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- Problems they want gone
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- Frustrations they're tired of
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- Risks they want to avoid
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The magic happens when your design addresses both."
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### 3. Explore Driving Forces Per Group
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For each persona:
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Output: "**Let's explore what drives {{persona.name}}**"
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Ask about positive drivers:
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"**Positive Drivers:**
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What does {{persona.name}} want to achieve or experience?
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Think about:
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- What would make their day better?
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- What would they brag about to colleagues?
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- What would make them feel successful?"
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Capture 3-5 positive drivers.
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Ask about negative drivers:
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"**Negative Drivers:**
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What does {{persona.name}} want to avoid or escape?
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Think about:
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- What keeps them up at night?
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- What frustrations are they tired of?
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- What risks worry them?
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- What embarrassments do they want to avoid?"
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Capture 3-5 negative drivers.
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Present summary for each persona and ask for confirmation.
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Repeat for each persona.
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Store driving_forces.
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### 4. Identify Patterns
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Output: "Looking across all personas, I notice some patterns..."
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Analyze for:
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- Common drivers across groups
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- Unique drivers per group
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- Potential conflicts between groups
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Present cross-group patterns (shared drivers, unique drivers, potential tensions).
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Store driver_patterns.
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### 5. Present Workshop Summary
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Output:
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"**Workshop 3 Complete!**
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We've mapped the psychological landscape:
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{{#each personas}}
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**{{this.name}}:**
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- Wants: {{this.top_positive_driver}}
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- Avoids: {{this.top_negative_driver}}
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{{/each}}
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This is powerful insight. Next, we'll prioritize which groups and drivers to focus on."
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Store driving_forces and patterns for next workshop.
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### 6. Present MENU OPTIONS
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Display: "**Select an Option:** [C] Continue to Prioritization Workshop | [M] Return to Activity Menu"
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#### Menu Handling Logic:
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- IF C: Load and execute {nextStepFile}
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- IF M: Return to {activityWorkflowFile}
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- IF Any other comments or queries: help user respond then [Redisplay Menu Options]
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#### EXECUTION RULES:
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- ALWAYS halt and wait for user input after presenting menu
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- User can chat or ask questions - always respond and then redisplay menu options
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## CRITICAL STEP COMPLETION NOTE
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ONLY WHEN user selects [C] will you load the next step file. Both positive and negative forces must be mapped for all personas before proceeding.
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---
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## 🚨 SYSTEM SUCCESS/FAILURE METRICS
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### ✅ SUCCESS:
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- 3-5 positive drivers identified per persona from user input
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- 3-5 negative drivers identified per persona from user input
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- Loss aversion principle explained
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- Cross-group patterns identified (shared, unique, tensions)
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- User confirmed driving forces for each persona
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- Results stored for subsequent workshops
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### ❌ SYSTEM FAILURE:
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- Skipping negative drivers for any persona
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- Having fewer than 3 drivers per category
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- Generating driving forces without user input
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- Not identifying cross-group patterns
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- Proceeding without confirmed forces for all personas
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- Not emphasizing importance of negative drivers
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**Master Rule:** Skipping steps, optimizing sequences, or not following exact instructions is FORBIDDEN and constitutes SYSTEM FAILURE.
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