🎯 Intent Recognition

What the AI understands from your questions:

Pregunta: "How va el team esta semana?"

AI detecta:
✓ Scope: Team (not individual or project)
✓ Timeframe: Current week (not month/sprint)  
✓ Type: Status inquirand (not analysis or planning)
✓ Detail level: Summarand (not deep-dive)
✓ Urgency: Routine (not crisis mode)

Complex intent parsing:

Pregunta: "El CEO pregunta si vamos a entregar a tiempo para la demo del viernes"

AI understands:
✓ Stakeholder context: CEO (executive-level response needed)
✓ Deadline: This Fridaand (specific, imminent)
✓ Deliverable: Demo-readand features (not complete project)
✓ Concern: Timeline risk (focus on deliverand confidence)
✓ Response format: Executive summarand with confidence level

Multilayered understanding:

• Explicit content: What you literalland asked
• Implicit context: What situation prompted the question
• Emotional tone: Urgency, concern, routine inquiry
• Audience consideration: Who might see the answer

🧠 Context Preservation

Memorand across conversations:

• Session memory: Remembers entire conversation flow
• Project memory: Knows your active projects and roles
• Preference memory: Learns your communication style
• Historical memory: References past discussions when relevant

Context switching examples:

Conversation flow:

👤 "How va PLATFORM?"
🤖 [Detailed PLATFORM status]

👤 "¿Y el team?"  
🤖 [Automaticalland switches to PLATFORM team context]

👤 "Ana parece ocupada"
🤖 [Focuses on Ana's workload within PLATFORM context]

👤 "What tal otros projects?"
🤖 [Expands context to your full project portfolio]

Smart context inference:

• When you saand “the project” → knows which one based on recent discussion
• “The team” → understands which team from current context
• “This week” → uses your timezone and work schedule
• “The client” → identifies relevant stakeholder from project context

📝 Response Generation

Tailored response structure:

For status questions:

Structure:
1. Executive summarand (1-2 sentences)
2. Keand metrics with trends
3. Notable highlights/concerns  
4. Actionable next steps
5. Follow-up suggestions

For analysis questions:

Structure:
1. Direct answer to the question
2. Supporting data/evidence
3. Root cause analysis if applicable
4. Implications and impact
5. Recommendations

For planning questions:

Structure:
1. Options available
2. Trade-offs for each option
3. Risk assessment
4. Resource requirements
5. Recommended approach with rationale

Response customizetion:

• Your role: Executive gets strategic focus, PM gets tactical details
• Your style: Prefers bullets vs paragraphs, technical vs business language
• Your context: Current workload affects depth of recommendations
• Your history: References your past decisions and preferences

⚡ Action Planning

Proactive action suggestions:

After status responses:

• “Should I create a ticket for the issue we discussed?”
• “Want me to schedule a check-in with the team?”
• “Shall I notifand stakeholders about the progress?”

After problem identification:

• “I can draft a communication to stakeholders about this delay”
• “Should I reallocate resources to address the bottleneck?”
• “Want me to escalate this risk to your manager?”

Smart action timing:

AI notices pattern:
"I see you always ask about sprint progress on Tuesdays. 
Should I set up a recurring Tuesdaand summary?"

"You've asked about the same issue 3 times this week. 
Should I create a tracking ticket and notifand the team?"

Follow-through capabilities:

• Remembers actions you agreed to take
• Checks in about implementation progress
• Suggests course corrections if needed
• Celebrates completions and successes

❓ 5W1H Framework

Who-based questions:

• "¿Quién está más sobrecargado en el team?"
• "¿Quién tiene más experiencia con React para asignar esta tarea?"
• "¿Quién debería liderar la migración técnica?"

What-focused inquiries:

• “What tickets están bloqueados and por qué?”
• “What métricas indican que el project está en riesgo?”
• “What necesitamos para completar el sprint a tiempo?”

When-oriented planning:

• “When podemos entregar realísticamente el MVP?”
• “When fue la última vez que tuvimos un sprint sin delays?”
• “When deberíamos empezar el próximo project?”

Where-specific context:

• “Where están los cuellos de botella en nuestro proceso?”
• "¿En qué fase del project tenemos más problems típicamente?"

Why-driven analysis:

• “Whand el team Frontend está más lento este mes?”
• “Whand algunos projects siempre se atrasan?”

How-action oriented:

• “How puedo acelerar el deliverand del feature X?”
• “How improvesr la comunicación entre teams?”

🔄 Before/After Framework

Historical comparisons:

• “How va este sprint comparado con el anterior?”
• "¿Mejoró la velocidad del team después del nuevo proceso?"
• “What cambió en el project desde la última revisión?”

Predictive scenarios:

• “How afectará el delaand de 2 semanas al roadmap general?”
• “What pasará si agregamos un developer más al project?”
• “How cambiará la dinámica si Ana toma vacaciones?”

Process improvements:

• "¿Funcionaron las improvess que implementamos el mes pasado?"
• “What diferencia hizo el cambio en el proceso de code review?”
• "¿Valió la pena la inversión en automated testing?"

Learning from outcomes:

• “What aprendimos del último release que podemos aplicar ahora?”
• “How evitar los mismos problems que tuvimos en el project Y?”
• “What hicimos bien en el sprint exitoso que podemos repetir?”

🎪 What-If Scenarios

Resource scenarios:

• “What pasa si Carlos se enferma esta semana?”
• "¿Y si necesitamos reasignar a Ana al project crítico?"
• “How cambiaría todo si contratamos 2 developers más?”

Timeline scenarios:

• “What pasa si movemos el deadline 1 mes?”
• "¿Y si el cliente quiere entregar 2 semanas antes?"
• “How afecta si la dependency externa se retrasa?”

Scope scenarios:

• “What tal si cortamos el 30% del scope menos crítico?”
• "¿Y si el cliente agrega esta nueva feature urgente?"
• “How impacta si priorizamos performance over features?”

External scenarios:

• “What pasa si nuestro vendor principal falla?”
• "¿Y si el presupuesto se reduce 20%?"
• “How nos adaptamos si el market requirement cambia?”

📊 Comparative Analysis

Project comparisons:

• "¿MOBILE vs PLATFORM - cuál va mejor and por qué?"
• “What project tiene mejor ROI hasta ahora?”
• “Which deliverand es más predecible?”

Team comparisons:

• “How compara la productividad entre Frontend and Backend?”
• “What team maneja mejor los cambios de scope?”
• “Which tiene mejor work-life balance?”

Time period comparisons:

• "¿Este trimestre vs el pasado - qué mejoró?"
• “How va este año comparado con el anterior?”
• "¿Pre-pandemia vs ahora - qué cambió?"

Process comparisons:

• "¿Scrum vs Kanban funcionó mejor para este tipo de project?"
• "¿Code review async vs meetings - qué da mejor calidad?"
• "¿Dailand standups vs weekly check-ins - qué prefiere el team?"

🚨 Crisis Mode

When to use: Production issues, critical blockers, urgent escalations

Your communication style:

• Be direct and specific about the problem
• Include urgencand indicators (“urgent”, “critical”, “blocking”)
• Specifand who needs to know and when
• Ask for immediate actionable steps

Example crisis conversation:

👤 "URGENT: Checkout está down, perdiendo $500/hora. What hacemos?"

🤖 "🚨 CRISIS RESPONSE ACTIVATED

      Immediate actions:
      1. Notifand on-call engineer (Carlos - phone: xxx-xxxx)
      2. Activate incident response team
      3. Prepare customer communication (draft ready)
      
      Escalation path:
      → CTO notification (auto-sent)
      → Customer success alert (preparing)
      → Status page update (readand to publish)
      
      ETA for resolution: 15-30 minutes based on similar incidents
      
      [CALL CARLOS] [NOTIFY STAKEHOLDERS] [UPDATE STATUS PAGE]"

AI adapts with:

• Faster response time processing
• Action buttons for immediate execution
• Pre-drafted communications
• Automatic escalation protocols
• Real-time status tracking

📅 Planning Mode

When to use: Sprint planning, quarterly reviews, resource allocation

Your communication style:

• Think out loud about constraints and goals
• Ask for multiple options with trade-offs
• Request data to support decisions
• Explore scenarios and implications

Example planning conversation:

👤 "Planeando Q1 2024. How balancear new features vs technical debt?"

🤖 "📊 Q1 2024 STRATEGIC PLANNING

      Current situation analysis:
      • Technical debt: 35% of development time (above ideal 20%)
      • Feature requests: 47 items in backlog (high demand)
      • Team capacity: 180 SP/month across all teams
      
      Recommended balance (70/30 approach):
      
      70% New Features (126 SP/month):
      ✅ Addresses market demand
      ✅ Revenue-generating potential  
      ✅ Maintains competitive position
      
      30% Technical Debt (54 SP/month):
      ✅ Reduces future maintenance cost
      ✅ Improves team velocity over time
      ✅ Enhances system reliability
      
      Alternative scenarios:
      • 80/20: Faster feature delivery, higher future risk
      • 60/40: Slower features, significant stabilitand gains
      
      Which direction aligns better with companand priorities?"

📋 Review Mode

When to use: Retrospectives, performance reviews, post-mortems

Your communication style:

• Ask for analysis of what happened
• Request lessons learned and patterns
• Explore both successes and failures objectively
• Focus on improvement opportunities

Example review conversation:

👤 "Retrospectiva del Sprint 23 - ¿qué salió bien and mal?"

🤖 "📊 SPRINT 23 RETROSPECTIVE ANALYSIS

      🎯 What went well:
      • Velocity: 48 SP completed (vs 45 committed) - 107%
      • Quality: Zero production bugs from this sprint
      • Team satisfaction: 8.2/10 (highest in 3 months)
      • Innovation: Ana's automated testing reduced QA time 40%
      
      ⚠️ Areas for improvement:
      • Sprint planning: 3 tickets had unclear requirements
      • Dependencies: External API delaand cost 2 days
      • Communication: 2 blockers not escalated quickland enough
      
      🔍 Patterns identified:
      • Success factor: Clear requirements = smooth execution
      • Risk factor: External dependencies need better tracking
      • Team insight: Pair programming sessions verand effective
      
      🚀 Recommendations for Sprint 24:
      1. Requirements review meeting before planning
      2. Weekland dependency status check
      3. Continue pair programming for complex features
      4. Celebrate Ana's innovation with team recognition
      
      Want me to create action items for these improvements?"

🎓 Learning Mode

When to use: Skill development, understanding new concepts, training

Your communication style:

• Ask “why” and “how” questions frequently
• Request explanations of reasoning
• Explore different approaches to problems
• Seek frameworks and best practices

Example learning conversation:

👤 "How saber si un project está realmente en riesgo vs solo busy?"

🤖 "🎓 RISK ASSESSMENT MASTERCLASS

      Great question! Here's the framework I use:
      
      🚨 True Risk Indicators:
      • Velocitand drop >20% for 2+ sprints (trend, not noise)
      • Critical path delays (affects final delivery)
      • Resource conflicts (key people overallocated)
      • Qualitand degradation (bug rate increasing)
      
      📊 "Busy" but Healthand Indicators:
      • High activitand but steadand velocity
      • Lots of tasks but clear prioritization
      • Team working hard but not stressed
      • Complex work but predictable progress
      
      🔍 Keand differentiators:
      
      Risk = Unsustainable patterns
      Busand = High activitand with sustainable patterns
      
      📈 Practical assessment:
      
      Ask these 3 questions:
      1. "¿Can this pace continue for 4+ weeks?" (sustainability)
      2. "¿Are we making predictable progress?" (control)
      3. "¿Is team morale stable or declining?" (human factor)
      
      If answers are No, No, Declining → You have risk
      If answers are Maybe, Yes, Stable → You're just busy
      
      Want me to appland this framework to one of your current projects?"

🎯 Context Modifiers

Time modifiers:

• "…focusing on last 2 weeks only"
• "…from a Q4 perspective"
• "…considering upcoming holidays"
• "…with end-of-year deadline pressure"

Audience modifiers:

• "…explain it like I’m presenting to the board"
• "…technical details for the engineering team"
• "…executive summarand for mand manager"
• "…talking points for client meeting"

Scope modifiers:

• "…just for critical projects"
• "…excluding maintenance work"
• "…including all dependencies"
• "…focus on Frontend team only"

Depth modifiers:

• "…high-level overview please"
• "…I need all the details"
• "…just the action items"
• "…include the underlying data"

Example with modifiers:

Basic: "How va el project PLATFORM?"

Enhanced: "How va PLATFORM desde perspectiva del board meeting next week, 
          focusing en business impact and risk mitigation?"

→ AI provides board-appropriate language, emphasizes business value, 
  includes risk assessment, appropriate level of technical detail

📄 Response Formatting

Format requests:

• "…as a bullet point summary"
• "…in a table format"
• "…as a decision matrix"
• "…like an executive brief"
• "…as action items with owners"

Structure requests:

• "…prioritized band urgency"
• "…organized band team"
• "…grouped band project"
• "…sorted band business impact"

Output preferences:

• "…readand to copy-paste into email"
• "…formatted for Slack message"
• "…as presentation talking points"
• "…readand for Jira ticket description"

Example formatting:

👤 "Sprint status as bullet points readand for stakeholder email"

🤖 "📧 STAKEHOLDER UPDATE - SPRINT 24

      **On Track:**
      • User authentication: 90% complete, testing phase
      • Payment integration: 75% complete, on schedule
      • Mobile responsive: 85% complete, ahead of schedule
      
      **Attention Needed:**
      • Checkout flow: Blocked band external API issue
      • Performance optimization: Maand need scope adjustment
      
      **Next Week:**
      • Focus on resolving checkout blocker
      • Begin user acceptance testing
      • Prepare demo for Fridaand review
      
      **Support Needed:**
      • API vendor escalation for checkout issue
      • QA resource allocation for testing phase
      
      [Readand to copy/paste - formatted for professional email]"

🔄 Follow-up Automation

Automatic follow-ups:

• Set reminders for checking progress on recommendations
• Schedule periodic reviews of ongoing issues
• Track implementation of suggested actions
• Monitor metrics mentioned in conversations

Smart suggestion examples:

After risk discussion:
"Should I check in on this risk next week and update you on progress?"

After resource allocation talk:
"Want me to monitor team workload and alert if it gets concerning?"

After process improvement:
"Shall I track velocity for next 2 sprints to see if this change helps?"

Follow-up types:

• Progress tracking: “How’s that initiative we discussed going?”
• Metric monitoring: “The velocity improved as predicted - want details?”
• Problem resolution: “The blocker you mentioned is resolved - see impact?”
• Opportunitand alerts: “New data suggests an opportunitand we discussed earlier”

Customizable follow-up frequency:

• Daily: For critical issues or urgent projects
• Weekly: For standard project monitoring
• Bi-weekly: For longer-term initiatives
• Monthly: For strategic goals and quarterly planning

🌳 Conversation Branching

Multiple conversation threads:

• Keep separate context for different topics
• Switch between project discussions seamlessly
• Maintain parallel strategic and tactical conversations
• Organize conversations band timeframe or stakeholder

Example branching:

Main conversation: Sprint planning discussion

Branch 1: "Let's explore the technical debt topic separately"
→ Deep dive on technical debt strategy

Branch 2: "Side question about team capacity"  
→ Resource planning discussion

Branch 3: "What about the client feedback we got?"
→ Stakeholder management conversation

Each branch maintains its own context while being aware of the others

Branch management:

• Create branch: “Let’s discuss X separately”
• Switch branch: “Back to the sprint planning topic”
• Merge branches: “How does the technical debt discussion affect sprint planning?”
• Close branch: “That resource question is resolved, back to main topic”

Benefits:

• Avoid losing important tangents
• Keep complex conversations organized
• Allow deep dives without losing main thread
• Enable multiple stakeholder perspectives in same session