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| # Product Backlog & Feature Roadmap | |
| This page tracks planned features, enhancements, and research directions for Open Navigator. Items are organized by theme and priority. | |
| ## 🎯 High Priority Features | |
| ### Politician Personality Profiles | |
| **Status:** Planned | |
| **Reference:** [Personality Politics - Joe Biden Example](http://personality-politics.org/joe-biden-2024) | |
| Create comprehensive personality and behavioral profiles for elected officials based on: | |
| - **Public Voting Records:** Analyze voting patterns, bill sponsorships, and legislative priorities | |
| - **Public Statements:** Analyze speeches, press releases, social media, and meeting transcripts | |
| - **Psychological Frameworks:** Apply Big Five personality traits, moral foundations, leadership styles | |
| - **Communication Patterns:** Analyze rhetoric, framing strategies, and messaging consistency | |
| - **Constituency Alignment:** Compare positions with constituent demographics and values | |
| **Data Sources:** | |
| - OpenStates API (voting records, bill sponsorships) | |
| - Meeting transcripts from `events_text_ai` (local positions and rhetoric) | |
| - Social media APIs (public statements) | |
| - Campaign finance data (FEC API) | |
| - Census data (constituency demographics) | |
| **Output Format:** | |
| ```json | |
| { | |
| "person_id": "ocd-person/12345", | |
| "full_name": "Jane Smith", | |
| "office": "City Council Member, District 3", | |
| "jurisdiction": "Boston, MA", | |
| "personality_profile": { | |
| "big_five": { | |
| "openness": 0.75, | |
| "conscientiousness": 0.82, | |
| "extraversion": 0.68, | |
| "agreeableness": 0.71, | |
| "neuroticism": 0.35 | |
| }, | |
| "moral_foundations": { | |
| "care_harm": 0.85, | |
| "fairness_cheating": 0.78, | |
| "loyalty_betrayal": 0.52, | |
| "authority_subversion": 0.48, | |
| "sanctity_degradation": 0.42, | |
| "liberty_oppression": 0.71 | |
| }, | |
| "leadership_style": "collaborative", | |
| "policy_priorities": ["housing", "education", "climate"], | |
| "communication_style": { | |
| "clarity_score": 0.82, | |
| "consistency_score": 0.76, | |
| "emotional_tone": "optimistic" | |
| } | |
| }, | |
| "voting_analysis": { | |
| "total_votes": 247, | |
| "attendance_rate": 0.94, | |
| "party_loyalty_score": 0.68, | |
| "bipartisan_collaboration_score": 0.45, | |
| "key_issues": [ | |
| { | |
| "issue": "affordable_housing", | |
| "vote_count": 32, | |
| "support_rate": 0.91, | |
| "alignment_with_platform": 0.95 | |
| } | |
| ] | |
| }, | |
| "constituent_alignment": { | |
| "demographic_match": 0.72, | |
| "policy_position_match": 0.68, | |
| "responsiveness_score": 0.81 | |
| }, | |
| "sources": [ | |
| "OpenStates voting records", | |
| "City Council meeting transcripts", | |
| "Campaign website positions", | |
| "Social media analysis (Twitter/X, Facebook)" | |
| ], | |
| "last_updated": "2026-05-05" | |
| } | |
| ``` | |
| **Implementation Steps:** | |
| 1. ✅ Create `bronze_contacts` table (DONE - already exists) | |
| 2. ✅ Extract people from meeting transcripts (DONE) | |
| 3. 🔲 Build personality analysis pipeline using LLMs | |
| 4. 🔲 Integrate voting record analysis from OpenStates | |
| 5. 🔲 Apply psychological frameworks (Big Five, Moral Foundations) | |
| 6. 🔲 Create profile aggregation and scoring system | |
| 7. 🔲 Build UI components for profile visualization | |
| 8. 🔲 Add profile comparison tools (compare candidates, track changes over time) | |
| **Related Tables:** | |
| - `bronze_contacts` - People extracted from meetings | |
| - `opencivicdata_person` - Legislators from OpenStates | |
| - `bronze_decisions` - Voting behavior in local meetings | |
| - `bronze_organizations` - Organizational affiliations | |
| --- | |
| ## 📊 Data & Analytics Features | |
| ### Multi-Model AI Evaluation Dashboard | |
| **Status:** In Progress (documentation complete, implementation pending) | |
| Visual dashboard to compare AI model extractions and show consensus/contradictions. | |
| **Features:** | |
| - Side-by-side comparison of model outputs | |
| - Consensus visualization (what all models agree on) | |
| - Contradiction highlighting with explanation | |
| - Quality metrics (Faithfulness, Relevancy, Coherence) | |
| - Model performance tracking over time | |
| **Reference:** [AI Model Evaluation](./ai-model-evaluation.md) | |
| ### Advanced Frame Analysis Aggregation | |
| **Status:** Planned | |
| Build aggregated views of policy frame analysis across: | |
| - Time (how frames evolve) | |
| - Geography (regional differences in framing) | |
| - Issues (dominant frames per topic) | |
| - Decision outcomes (which frames predict success/failure) | |
| ### Predictive Analytics | |
| **Status:** Research Phase | |
| Use historical meeting data to predict: | |
| - Likely decision outcomes based on arguments presented | |
| - Budget allocation patterns | |
| - Policy adoption timelines | |
| - Public engagement levels | |
| --- | |
| ## 🔍 Search & Discovery | |
| ### Semantic Search Across All Content | |
| **Status:** Partially Implemented | |
| Expand semantic search to cover: | |
| - Meeting transcripts | |
| - Decision statements | |
| - Nonprofit descriptions | |
| - Elected official statements | |
| - Legislation text | |
| ### Advanced Filtering | |
| **Status:** Planned | |
| Multi-dimensional filtering: | |
| - Geographic (state → county → city → district) | |
| - Temporal (date ranges, meeting frequency) | |
| - Thematic (COFOG codes, NTEE categories) | |
| - Sentiment (supportive vs. opposed arguments) | |
| - Financial impact (budget thresholds) | |
| --- | |
| ## 🤝 Collaboration & Engagement | |
| ### Constituent Communication Tools | |
| **Status:** Planned | |
| Help residents engage with elected officials: | |
| - Template generator for public comments | |
| - Meeting reminder notifications | |
| - Issue tracking (follow specific topics) | |
| - Elected official contact finder | |
| - Public comment submission tracking | |
| ### Advocacy Campaign Builder | |
| **Status:** Planned | |
| Tools for organizers: | |
| - Campaign strategy templates | |
| - Target identification (key decision-makers) | |
| - Power mapping visualization | |
| - Coalition building tools | |
| - Impact measurement dashboard | |
| --- | |
| ## 🧠 AI & Machine Learning | |
| ### Fine-Tuned Models for Civic Analysis | |
| **Status:** Research Phase | |
| Train domain-specific models: | |
| - **Civic-BERT:** Fine-tuned for government meeting analysis | |
| - **Policy-Frame-GPT:** Specialized in frame analysis | |
| - **Vote-Predictor:** Predict council vote outcomes | |
| - **Sentiment-Civic:** Sentiment analysis for public comments | |
| ### Ensemble Model Implementation | |
| **Status:** In Progress | |
| Implement production-ready ensemble pipelines: | |
| - Automated MoA synthesis for all new meetings | |
| - Multi-model comparison for quality assurance | |
| - Confidence scoring for extracted facts | |
| - Human-in-the-loop for low-confidence items | |
| **Reference:** [AI Model Merging](./ai-model-merging.md) | |
| --- | |
| ## 🗺️ Geographic & Spatial Features | |
| ### Interactive Power Maps | |
| **Status:** Planned | |
| Visualize power dynamics from frame analysis: | |
| - Stakeholder influence networks | |
| - Constituent vs. developer interests | |
| - Coalition formation patterns | |
| - Decision-making pathways | |
| ### Geospatial Analysis | |
| **Status:** Planned | |
| Map-based views: | |
| - Jurisdictions by policy topic heatmap | |
| - Nonprofit density by issue area | |
| - Meeting frequency by region | |
| - Budget allocation patterns | |
| --- | |
| ## 📱 Platform & Infrastructure | |
| ### Mobile Application | |
| **Status:** Planned | |
| Native mobile apps for: | |
| - Meeting notifications | |
| - Live meeting viewing with AI summaries | |
| - Quick contact lookup for elected officials | |
| - Voice-to-text public comment submission | |
| ### Real-Time Meeting Analysis | |
| **Status:** Research Phase | |
| Live AI analysis during meetings: | |
| - Real-time transcription and analysis | |
| - Live frame detection | |
| - Decision outcome prediction | |
| - Instant fact-checking of claims | |
| ### Multi-Language Support | |
| **Status:** Planned | |
| Expand to support: | |
| - Spanish (priority) | |
| - Chinese | |
| - Vietnamese | |
| - Tagalog | |
| - Other languages based on jurisdiction demographics | |
| --- | |
| ## 🔒 Privacy & Security | |
| ### Differential Privacy Implementation | |
| **Status:** Research Phase | |
| Protect individual privacy while enabling analysis: | |
| - Anonymized voting patterns | |
| - Aggregated demographic analysis | |
| - Privacy-preserving personality profiles | |
| ### Data Governance Framework | |
| **Status:** Planned | |
| Implement comprehensive governance: | |
| - Data retention policies | |
| - Right to be forgotten mechanisms | |
| - Consent management system | |
| - Audit logging for all data access | |
| --- | |
| ## 🧪 Research & Experiments | |
| ### Causal Analysis of Policy Outcomes | |
| **Status:** Research Phase | |
| Use causal inference to understand: | |
| - What policy interventions actually work | |
| - Impact of framing on decision outcomes | |
| - Effect of constituent engagement on votes | |
| - Budget allocation effectiveness | |
| ### Comparative Jurisdiction Analysis | |
| **Status:** Planned | |
| Compare similar jurisdictions: | |
| - Best practices identification | |
| - Policy diffusion patterns | |
| - Regional coordination opportunities | |
| - Performance benchmarking | |
| ### LLM-Generated Policy Briefs | |
| **Status:** Planned | |
| Automatically generate: | |
| - Meeting summaries for residents | |
| - Policy impact analyses | |
| - Comparison reports ("What did other cities do?") | |
| - FAQ generation from meeting transcripts | |
| --- | |
| ## 🎨 User Experience | |
| ### Personalized Dashboard | |
| **Status:** Planned | |
| Customizable views based on user interests: | |
| - "My Neighborhood" - local-only updates | |
| - "My Issues" - filtered by policy topics | |
| - "My Representatives" - track specific officials | |
| - "My Meetings" - saved/bookmarked meetings | |
| ### Accessibility Improvements | |
| **Status:** Ongoing | |
| Enhance accessibility: | |
| - Screen reader optimization | |
| - Keyboard navigation | |
| - High contrast themes | |
| - Simplified language mode | |
| - Audio descriptions for visualizations | |
| --- | |
| ## 📚 Documentation & Education | |
| ### Civic Education Curriculum | |
| **Status:** Planned | |
| Educational materials: | |
| - "How Government Works" guides | |
| - "Understanding Your Local Budget" tutorials | |
| - "How to Make Public Comments" videos | |
| - "Reading Meeting Minutes" guides | |
| ### API Documentation | |
| **Status:** Partially Complete | |
| Comprehensive developer docs: | |
| - REST API reference | |
| - GraphQL schema | |
| - Authentication guides | |
| - Rate limiting policies | |
| - Code examples in multiple languages | |
| --- | |
| ## 🔗 Integration Goals | |
| ### Third-Party Integrations | |
| **Status:** Planned | |
| Connect with: | |
| - **Civic platforms:** Participatory budgeting tools, petition platforms | |
| - **Social media:** Auto-post meeting summaries | |
| - **Calendar apps:** Meeting reminders | |
| - **Communication tools:** Slack, Discord for community organizing | |
| - **CRM systems:** For advocacy organizations | |
| ### Data Export & Portability | |
| **Status:** Planned | |
| Enable data export: | |
| - CSV/Excel for offline analysis | |
| - JSON API for programmatic access | |
| - PDF reports for sharing | |
| - Parquet files for data science | |
| - Push to HuggingFace Datasets | |
| --- | |
| ## 💡 Community Requested Features | |
| ### Issue Tracking | |
| **Status:** Planned | |
| Track specific issues across time: | |
| - "Follow this bill through the legislative process" | |
| - "Alert me when budget item is discussed" | |
| - "Track mentions of my neighborhood" | |
| ### Comparison Tools | |
| **Status:** Planned | |
| Compare across dimensions: | |
| - Before/after policy implementation | |
| - Your city vs. neighboring cities | |
| - Current council vs. previous council | |
| - Campaign promises vs. actual votes | |
| ### Public Comment Analysis | |
| **Status:** Planned | |
| Analyze public comments: | |
| - Common themes in constituent feedback | |
| - Sentiment trends over time | |
| - Impact of public comment on votes | |
| - Who speaks at meetings (demographics) | |
| --- | |
| ## 📅 Timeline (Rough Estimates) | |
| ### Q2 2026 | |
| - ✅ Multi-model comparison infrastructure (COMPLETE) | |
| - ✅ MoA synthesis pipeline (COMPLETE) | |
| - 🔲 Politician personality profiles (v1 prototype) | |
| - 🔲 Multi-model evaluation dashboard | |
| ### Q3 2026 | |
| - 🔲 Fine-tuned civic models | |
| - 🔲 Advanced filtering | |
| - 🔲 Mobile app (beta) | |
| - 🔲 Real-time meeting analysis (pilot) | |
| ### Q4 2026 | |
| - 🔲 Interactive power maps | |
| - 🔲 Multi-language support (Spanish) | |
| - 🔲 Constituent communication tools | |
| - 🔲 API v2 launch | |
| ### 2027+ | |
| - 🔲 Predictive analytics | |
| - 🔲 Causal analysis research | |
| - 🔲 Civic education curriculum | |
| - 🔲 Global expansion | |
| --- | |
| ## 🤝 How to Contribute | |
| Have ideas for new features? Want to help implement something from this backlog? | |
| 1. **Comment on existing issues:** [GitHub Issues](https://github.com/getcommunityone/open-navigator/issues) | |
| 2. **Submit feature requests:** Use the "Feature Request" template | |
| 3. **Join discussions:** [GitHub Discussions](https://github.com/getcommunityone/open-navigator/discussions) | |
| 4. **Pick a backlog item:** Comment on the issue to claim it | |
| 5. **Submit a PR:** Reference the backlog item in your pull request | |
| --- | |
| ## 📊 Priority Framework | |
| We prioritize features using: | |
| **Impact:** How many users benefit? (🔴 High / 🟡 Medium / 🟢 Low) | |
| **Effort:** How much work is required? (🟢 Low / 🟡 Medium / 🔴 High) | |
| **Strategic:** Does it align with our mission? (⭐ Yes / - No) | |
| **High Priority:** 🔴 Impact + 🟢 Low Effort + ⭐ Strategic | |
| **Medium Priority:** 🟡 Impact + 🟡 Effort + ⭐ Strategic | |
| **Research Phase:** 🔴 Impact + 🔴 High Effort (needs more investigation) | |
| --- | |
| ## 🎯 Feature Status Legend | |
| - ✅ **Complete** - Feature is live and available | |
| - 🔄 **In Progress** - Actively being developed | |
| - 🔲 **Planned** - Committed to roadmap | |
| - 🧪 **Research Phase** - Exploring feasibility | |
| - 💭 **Idea** - Community suggestion, not yet scoped | |
| --- | |
| *Last updated: May 5, 2026* | |
| *Next review: June 1, 2026* | |