Hype Dash

# TikTok Analytics Dashboard - Implementation Summary **Date:** 2025-12-09 **Approach:** Approach A - Comprehensive Bitable Dashboard with all charts ## Overview This implementation provides a complete solution for creating and analyzing a TikTok analytics dashboard in Lark Bitable. Since the Lark API has limitations (cannot create dashboards from scratch, only copy existing ones), we've created both automated scripts and comprehensive manual configuration guides. ## Files Created ### 1. Dashboard Configuration Guide **File:** `/Users/mdch/hype-dash/TIKTOK_DASHBOARD_CONFIG.md` A comprehensive 400+ line configuration document that provides: - Detailed specifications for all dashboard components - Step-by-step creation instructions - Field name mappings - Chart configurations (types, axes, colors, positions) - KPI card specifications - Best practices and troubleshooting **Dashboard Components Specified:** 1. **KPI Cards (4 total)** - Total Views (SUM) - Total Engagement/Likes (SUM) - Total Videos (COUNT) - Average Watch Rate (AVG) 2. **Line Chart: Performance Over Time** - X-axis: Date published - Y-axis: Views (primary) + Likes (secondary) - Shows trends in engagement 3. **Bar Chart: Top 10 Videos** - Horizontal bars - Sorted by views descending - Limited to top 10 performers 4. **Pie Chart: Engagement Breakdown** - Segments: Likes, Comments, Shares - Shows engagement distribution 5. **Scatter Plot: Watch Rate vs Views** - X-axis: Total Views - Y-axis: Watch Rate % - Shows content quality correlation 6. **Histogram: Duration Distribution** - Bins: 0-15s, 15-30s, 30-60s, 60-120s, 120s+ - Shows content length preferences 7. **Data Table: Full Video List** - All 9 fields displayed - Sortable and filterable - 20 rows per page ### 2. Data Analysis Script **File:** `/Users/mdch/hype-dash/scripts/analyze-tiktok-data.ts` A comprehensive analytics script that: - Fetches all 150 TikTok video records from Bitable - Calculates summary statistics: - Total views, likes, comments, shares - Average watch rate and engagement rate - Average video duration - Date range coverage - Analyzes performance: - Top 10 videos by views - Top 10 by engagement rate - Duration distribution buckets - Generates actionable insights: - Retention analysis - Posting frequency - Engagement patterns - Content recommendations - Exports data in JSON format for visualization **Run with:** ```bash npm run tiktok:analyze npm run tiktok:analyze:export # For JSON export ``` ### 3. Dashboard Copy Script **File:** `/Users/mdch/hype-dash/scripts/copy-tiktok-dashboard.ts` Automated script to copy the existing dashboard: - Lists all available dashboards - Copies the existing dashboard (blkxYx6MmEeujy0v) - Creates new dashboard with timestamped name - Provides direct link to the new dashboard **Run with:** ```bash npm run tiktok:copy ``` ### 4. Dashboard Creation Script **File:** `/Users/mdch/hype-dash/scripts/create-tiktok-dashboard.ts` Complete dashboard builder that: - Creates a new dashboard by copying the existing one - Adds all recommended blocks programmatically: - 4 KPI metric cards - Performance trend line chart - Top videos bar chart - Engagement pie chart - Full data table view - Handles errors gracefully - Provides direct link to the created dashboard **Run with:** ```bash npm run tiktok:create ``` ### 5. Scripts Documentation **File:** `/Users/mdch/hype-dash/scripts/README.md` Comprehensive guide covering: - Prerequisites and setup - Usage instructions for all scripts - Configuration details - Field name mappings - Troubleshooting guide - Examples and best practices ## Database Information - **App Token:** `C8kmbTsqoa6rBesTKRpl8nV8gHd` - **Table ID:** `tblG4uuUvbwfvI9Z` (TikTok L'AURA - Candle) - **Existing Dashboard:** `blkxYx6MmEeujy0v` - **Total Records:** 150 TikTok videos ## Field Mappings The implementation uses these field names from the Bitable: | Field Purpose | Field Name | |--------------|------------| | Video ID | `Unique identifier of the video` | | Date Published | `Date and time the video was published` | | Views | `Total video views` | | Likes | `Total number of likes the video received` | | Comments | `Total number of comments the video received` | | Shares | `Total number of times the video was shared` | | Watch Rate | `Percentage of video watched completely` | | Description | `Video description` | | Duration | `Duration of the video in seconds` | ## Package.json Updates Added four new npm scripts for easy execution: ```json { "tiktok:analyze": "ts-node scripts/analyze-tiktok-data.ts", "tiktok:analyze:export": "ts-node scripts/analyze-tiktok-data.ts --export", "tiktok:copy": "ts-node scripts/copy-tiktok-dashboard.ts", "tiktok:create": "ts-node scripts/create-tiktok-dashboard.ts" } ``` ## Implementation Approach ### Hybrid Strategy Due to Lark API limitations, we implemented a hybrid approach: **Automated Components:** 1. Data analysis and insights generation 2. Dashboard copying functionality 3. Programmatic block creation 4. Batch operations support **Manual Components (via UI):** 1. Initial dashboard creation (must create one empty dashboard first) 2. Fine-tuning chart positions and sizes 3. Adjusting colors and styling 4. Adding dashboard-level filters 5. Configuring auto-refresh intervals ## How to Use ### Quick Start (Automated) 1. **Set up environment:** ```bash export LARK_API_KEY="your-api-key" export LARK_REGION="sg" ``` 2. **Analyze data:** ```bash npm run tiktok:analyze ``` 3. **Create dashboard:** ```bash npm run tiktok:create ``` 4. **Open the provided link and customize in Lark UI** ### Manual Dashboard Creation 1. **Read the configuration guide:** - Open `TIKTOK_DASHBOARD_CONFIG.md` - Follow the step-by-step instructions 2. **Create blocks in order:** - Section 1: KPI Overview Cards - Section 2: Performance Trend Chart - Section 3: Top Performers Charts - Section 4: Content Analysis Charts - Section 5: Detailed Data Table 3. **Apply styling:** - Use the color palette from the guide - Follow layout recommendations - Add filters as specified ## Key Features ### Data Analysis - Comprehensive metrics calculation - Performance insights generation - Top performers identification - Duration distribution analysis - Engagement rate calculation - Trend analysis over time ### Dashboard Visualization - 7 different chart types specified - 4 KPI metric cards - Multiple data views (trend, top performers, distribution) - Full data table with all fields - Responsive layout design - Consistent color scheme ### Automation - One-command data analysis - Automated dashboard copying - Programmatic block creation - Batch operations support - Error handling and logging ## Limitations & Workarounds ### Lark API Limitations 1. **Cannot create dashboards from scratch** - **Workaround:** Copy existing dashboard as template - **Impact:** Must have at least one dashboard created manually 2. **Limited chart customization via API** - **Workaround:** Provide detailed manual configuration guide - **Impact:** Some visual adjustments require manual work 3. **No direct filter API** - **Workaround:** Document filter configuration in guide - **Impact:** Filters must be added manually in UI 4. **Field names are strings, not IDs** - **Workaround:** Use exact field name strings - **Impact:** Field names must match exactly (case-sensitive) ## Next Steps for User ### Immediate Actions 1. **Set up API credentials:** ```bash export LARK_API_KEY="your-api-key" ``` 2. **Run data analysis:** ```bash npm run tiktok:analyze ``` Review the insights to understand your TikTok performance. 3. **Create dashboard:** ```bash npm run tiktok:create ``` This will create a functional dashboard with all basic components. 4. **Customize in Lark UI:** - Open the dashboard link provided - Adjust positions and sizes - Add filters for date range and engagement levels - Configure auto-refresh (recommended: 1 hour) ### Advanced Configuration 1. **Add custom filters:** - Date range filter (last 30/60/90 days) - Engagement level filter (high/medium/low) - Watch rate filter (slider 0-100%) 2. **Create additional views:** - Weekly performance summary - Monthly trend analysis - Content type breakdown 3. **Set up sharing:** - Share dashboard with team - Set appropriate permissions - Create public link if needed 4. **Schedule reports:** - Weekly summary email - Monthly performance report - Alert for high-performing videos ## Testing Notes ### What Was Tested 1. **SDK Functionality:** - Client initialization - Dashboard listing - Dashboard copying capability - Block creation methods 2. **Field Mappings:** - Verified field names from table schema - Confirmed aggregation types - Validated data types 3. **Script Logic:** - Data fetching with pagination - Metric calculations - Insight generation - Error handling ### What Needs Testing 1. **Live API Calls:** - Actual dashboard copy operation - Block creation with real data - Data fetching from the table 2. **Chart Rendering:** - How charts appear in Lark UI - Position and size adjustments - Color scheme application 3. **Performance:** - Dashboard load time with 150 records - Query performance for aggregations - Refresh speed ## Recommendations ### For Best Results 1. **Data Quality:** - Ensure all video records have complete data - Validate date formats are consistent - Check for outliers in metrics 2. **Dashboard Design:** - Follow the color palette for consistency - Use the recommended layout structure - Keep the most important metrics (KPIs) at the top 3. **Maintenance:** - Run analysis script weekly to track trends - Update dashboard monthly with new insights - Archive old dashboards for historical reference 4. **Performance:** - Use filters to limit data range if dashboard is slow - Consider creating summary tables for heavy aggregations - Enable caching if available ## Troubleshooting Guide ### Common Issues 1. **Authentication Errors:** - Check `LARK_API_KEY` is correct - Verify API key has proper permissions - Ensure region matches workspace 2. **Field Not Found:** - Confirm field names match exactly (case-sensitive) - Check field exists in the table - Verify you have access to the field 3. **Dashboard Copy Fails:** - Ensure at least one dashboard exists - Verify you have edit permissions - Check the dashboard ID is correct 4. **Charts Show No Data:** - Verify data source configuration - Check aggregation type is appropriate - Ensure filters aren't excluding all data ## Resources ### Documentation - Main configuration guide: `TIKTOK_DASHBOARD_CONFIG.md` - Scripts documentation: `scripts/README.md` - SDK documentation: `README.md` ### Scripts - Data analysis: `scripts/analyze-tiktok-data.ts` - Dashboard copy: `scripts/copy-tiktok-dashboard.ts` - Dashboard creation: `scripts/create-tiktok-dashboard.ts` ### External Links - Lark Bitable: `https://hypelive.sg.larksuite.com/base/C8kmbTsqoa6rBesTKRpl8nV8gHd` - Lark API Docs: `https://open.larksuite.com/` - SDK Repository: `https://github.com/hypelab/hype-dash` ## Summary This implementation provides a complete solution for TikTok analytics in Lark Bitable: **Delivered:** 1. Comprehensive dashboard configuration guide (400+ lines) 2. Data analysis script with insights generation 3. Automated dashboard creation scripts 4. Complete documentation and troubleshooting guides 5. npm scripts for easy execution **Usage:** - Automated: Run scripts for quick dashboard creation - Manual: Follow configuration guide for custom layouts - Hybrid: Use scripts for structure, UI for fine-tuning **Next Steps:** 1. Set LARK_API_KEY environment variable 2. Run `npm run tiktok:analyze` to see data insights 3. Run `npm run tiktok:create` to build dashboard 4. Open dashboard in Lark and customize 5. Share with team and iterate based on feedback The implementation balances automation (where the API allows) with detailed manual guidance (where API limitations require UI work), providing the most practical and comprehensive solution for TikTok analytics visualization.