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Feature Prioritization for AnalyzThis
Method 4: Thresholds
Imagine the features are bugs. Prioritize a fixing the bug when the bug count crosses a the allowable threshold.
The Quality Method is inspired by , CPO at Digit. Read more of Rushabh’s thoughts on . When you cross a threshold, stop feature work and declare a bug week!
Priority Levels
Level
Description
Bugs allowed in this priority
Bug count
Above the threshold?
P0
Look at this NOW
00
00
No
P1
Fix within 24 hours
00
20
No
P2
Fix within a week
00
50
No
P3
Fix within next sprint
00
80
No
P4
Catchall
00
100
No
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Bugs (features)
Name
Bug Priority
Secure login with credentials
User-friendly welcome page
Supports multiple file types (.xls, .xlsx, .csv)
Drag-and-drop file upload
Browse and select files
Option to upload single or multiple sheets
Database connection for direct data imports
Structured table-format display
Uses conversational language for querying data
Quick access to specific data queries
Profile customization
Configuration of user settings
Permission management
Intuitive and easy-to-navigate dashboard
Clear and responsive design
Accessible sidebar navigation for all features
Automatic data processing post-upload
Handling of complex datasets with multiple sheets
Ability to create detailed graphs
Add visualizations to dashboards
Interactive dashboard elements for deeper insights
Create detailed reports from visualizations
Export reports in multiple formats (PDF, Excel, etc.)
Schedule automatic report generation
Draggable dashboard elements
Real-time data updates
Dashboard sharing and collaboration features
Pre-built analytical templates for common business needs ?
Advanced data transformation and modelling via chat
Predictive analytics and forecasting
Data encryption at rest and in transit
Role-based access control
Compliance with industry standards (GDPR, HIPAA, etc.)
Share feature for report and Dashboard as interactive html link or pdf
Data sharing with external stakeholders ?
Commenting and annotation on visualizations
User Profile avatars
Customizable user settings, UI Theme, Chart color theme, Fonts, Report Style
Quick and easy access to connected data
Breadcrumb navigation for better user orientation
Suggestion engine for optimal graph types
Proactive recommendations based on data patterns
Generate data insights across different datasets
Unified view of connected data insights
Drill-down capabilities in charts and graphs
Dynamic filtering and sorting within visualizations
Creating Dynamic relationship between data of cards.
Drill Through and roll up of charts
Enhance Data Modeling Capabilities
Expand Visualisation options to use different charts and libs
Build Advanced ETL Tools
Enterprise-Grade Security and Management
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