Product Requirements Document: Startup Funding Deck Fixer

Overview

The Startup Funding Deck Fixer is an AI-powered tool designed to help first-time founders improve their pitch decks for investor presentations. Using specialized AI agents, the app analyzes pitch decks and provides actionable feedback to enhance clarity, storytelling, and overall investor appeal.

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Primary User: First-time startup founder

Limited experience with investor pitches
May have technical expertise but struggles with investor communication
Needs guidance on pitch deck best practices
Likely working with limited resources (time, money, expertise)

Problem Statement

First-time founders often create pitch decks that:

Use overly technical or vague language
Fail to clearly articulate the value proposition
Don't effectively demonstrate traction or market potential
Miss key elements investors look for
Tell an unconvincing business story

These issues significantly reduce the chances of securing funding, regardless of the quality of the actual business idea.

Solution

An AI-powered tool that analyzes pitch decks (either uploaded or pasted text) and provides:

Slide-by-slide recommendations for improvement
Enhanced clarity in language and messaging
Improved traction and market opportunity storytelling
Identification of investor red flags
Specific suggestions to increase investor appeal

Key Features

MVP (Minimum Viable Product)

Pitch Deck Input
- Text input option (paste slides content)
- Simple slide separator mechanism
- Clear instructions for formatting input
AI Analysis Engine
- Clarity analysis (language, messaging)
- Investor perspective evaluation
- Missing content identification
Feedback Generation
- Slide-by-slide improvement suggestions
- Language and clarity enhancements
- Investor-focused recommendations
- Enhanced content suggestions
User Interface
- Clean, simple web interface
- Collapsible feedback sections
- Copy/paste friendly output
- Basic progress indicator

Future Enhancements (Post-MVP)

File Upload System
- Direct PowerPoint/PDF upload
- Slide extraction and processing
- Image and chart analysis
Advanced Analytics
- Competitive analysis
- Industry-specific benchmarking
- Success probability scoring
Interactive Editing
- In-app slide editor
- Real-time feedback
- Before/after comparison
Export Options
- Downloadable improved slides
- Export to PowerPoint/PDF
- Shareable results

Crew AI Architecture

The system employs two specialized AI agents working together:

Clarity Coach Agent
- Primary Role: Improve language clarity and messaging
- Key Functions:
  - Simplify technical jargon
  - Enhance readability and flow
  - Strengthen value proposition statements
  - Improve headline and bullet point impact
  - Ensure consistent messaging
Investor Agent
- Primary Role: Evaluate pitch from investor perspective
- Key Functions:
  - Check for proper traction metrics
  - Evaluate TAM/SAM/SOM presentation
  - Analyze go-to-market strategy
  - Flag missing critical information
  - Suggest investor-appealing additions

User Flow

flowchart TD
    A[User Visits App] --> B[User Inputs Pitch Deck Content]
    B --> C{Input Validation}
    C -->|Valid Input| D[Process Content]
    C -->|Invalid Input| E[Error Message]
    E --> B
    D --> F[Clarity Coach Analysis]
    D --> G[Investor Agent Analysis]
    F --> H[Generate Clarity Feedback]
    G --> I[Generate Investor Feedback]
    H --> J[Compile Recommendations]
    I --> J
    J --> K[Display Results to User]
    K --> L[User Reviews Feedback]
    L --> M{User Action}
    M -->|Make Changes| N[User Applies Changes to Deck]
    M -->|Try Again| B
    N --> O[Improved Pitch Deck]

Crew AI Interaction Model

flowchart LR
    A[Input Processor] --> B[Pitch Deck Content]
    
    subgraph Crew AI System
        B --> C[Clarity Coach Agent]
        B --> D[Investor Agent]
        C <--> D
        C --> E[Clarity Feedback]
        D --> F[Investor Feedback]
    end
    
    E --> G[Recommendation Engine]
    F --> G
    G --> H[Output Formatter]
    H --> I[User Interface]

Technical Requirements

Frontend

Responsive web application (mobile and desktop)
Modern, minimalist UI with clear instructions
Progress indicators for AI processing
Collapsible sections for organized feedback
Copy-to-clipboard functionality

Backend

Text processing system
AI agent orchestration
Content analysis pipeline
Feedback generation engine
Basic user session management

AI and ML

NLP for content analysis
Pattern recognition for pitch deck structure
Language enhancement models
Investor perspective simulation

Success Metrics

User Engagement
- Completion rate (users who submit and receive feedback)
- Return usage rate
- Average time spent reviewing recommendations
Feedback Quality
- User satisfaction rating
- Implementation rate of suggestions
- Reported funding success rate
Product Growth
- User acquisition rate
- Retention metrics
- Word-of-mouth referrals

MVP Implementation Plan

Phase 1: Core Functionality (Weeks 1-2)

Develop text input mechanism
Implement basic AI analysis for clarity
Create simple feedback generation
Build minimal viable UI

Phase 2: Enhanced Analysis (Weeks 3-4)

Integrate Investor Agent functionality
Improve analysis depth and accuracy
Refine feedback format and presentation
Add simple user session tracking

Phase 3: Testing & Launch (Weeks 5-6)

Internal testing with sample pitch decks
Limited beta with real users
Feedback collection and implementation
Public MVP launch

Limitations & Constraints

MVP limited to text input only (no file uploads)
Initial version may have limited depth in specialized industries
No integration with presentation software in MVP
Limited personalization in first release
No long-term storage of user pitch decks

Future Roadmap Considerations

Integration with common presentation tools
Custom templates and formatting
Industry-specific analysis
AI-powered slide redesign capabilities
Premium features for advanced users

decagondev/Startup-funding-deck-fixer.md