Home Feedback Widget

Feedback Widget

Find out how to install, customize, and utilize feedback widgets to collect valuable user opinions and enhance your site.
By Crowd team
• 5 articles

Customizing and Installing Crowd Feedback Widgets

Crowd Feedback widgets enable users and website visitors to provide feedback, make suggestions, or report issues directly on your website or within your application. They are essential for understanding your users' needs, identifying issues, and making data-driven decisions. Crowd feedback widgets can be easily installed, configured, and customized to seamlessly integrate with your website's design, allowing you to collect real-time feedback through ratings, surveys, and comments without disrupting user experience. These highly customizable widgets enable you to tailor their appearance and behavior to match your brand, set the types of feedback you want to collect, design the widget to fit your style, configure personalized thank-you messages, and establish display rules for optimal placement. By embedding these surveys or feedback forms into your site or application, you can gather valuable user insights efficiently and effectively. Steps to Configure a Feedback Widget - Widget Name: Start by giving your widget a name for easy identification. - Select Feedback Type: Set the types of feedback you want to collect. - Style Your Widget: Customize the visual aspects of your widget to ensure it fits seamlessly with your website. - Thank You Message: Create a custom thank-you message for users after they submit their feedback. - Display Rules: Define how and where the widget will appear on your site to maximize user engagement. - Installation: Obtain the embed code and install the widget on your website. Note that the widget must be installed before it can be set live. Types of Crowd Feedback Widgets and Their Uses - NPS Widget: Measures user loyalty and satisfaction. - CSAT Widget: Gauges overall customer satisfaction. - Feature Request Widget: Collects user suggestions for new features. - Bug Tracking Widget: Allows users to report bugs and issues.

Last updated on Jul 07, 2024

Getting Started with Feedback Widgets - Complete Setup Guide

Account Setup and Dashboard Access Step 1: Sign Up for Crowd 1. Visit the Crowd website 2. Click on "Sign Up" 3. Complete the registration process with your email and business details 4. Verify your email address 5. Complete your profile setup Step 2: Initial Dashboard Overview Once logged in, you will see your main Crowd dashboard with different sections including: - Click on the "Widgets" Installing Crowd on Your Website Prerequisites Before you can use feedback widgets, you need to install Crowd on your website. This is a crucial first step that enables all Crowd features. Installation Process 1. Complete Installation: Follow the steps to start collecting insights 2. Click Complete Installation: This will guide you through the setup process 3. Get Your Tracking Code: Crowd will provide you with a unique tracking script 4. Add to Your Website: Install the tracking code in your website's header section 5. Verify Installation: Crowd will confirm when the installation is successful Crowd Installation Guide The Crowd installation enables: - AI-powered analytics - User behavior analytics - Heatmap tracking - Session recording capabilities - Feedback widgets - Real time user insights Creating Your First Feedback Widget Widget Creation Process 1. Click "Create new widget" in the top right corner of the Widgets dashboard 2. Choose Feedback Type: Select from available Templates: - CSAT (Customer Satisfaction) - Bug Report - Feature Request - Net Promoter Score - Custom feedback forms 3. Configure Widget Settings: - Widget name and description - Display settings (when and where to show) - Styling and appearance options - Trigger conditions 4. Customize Questions: - Rating scale configuration - Custom text prompts - Optional vs required fields - Thank you message. 5. Set Display Rules: - Target specific pages or sections - User behavior triggers - Time based display rules - Device specific settings 6. Preview and Test: Review your widget before making it live 7. Save and Activate: Once satisfied, save your widget and set it to active status Widget Management Dashboard The main Widgets dashboard displays all your feedback widgets in a clean grid format: Widget Information Cards Each widget card shows: - Widget Name: Custom name you assigned - Status Badge: Current operational status - Creation Date: When the widget was created - Widget Icon: Visual representation of the feedback widget Available Widget Statues you will see - Active: Currently live and collecting feedback from users - Inactive: Created but not currently collecting feedback - Draft: In development/configuration phase, not yet deployed Widget Management Features - Search Bar: Find specific widgets quickly using the search functionality - Sorting Options: Organize widgets by "Most recently active" or other criteria - Bulk Actions: Manage multiple widgets simultaneously - Quick Edit: Access widget settings directly from the dashboard What your Widget Status means Active Widgets - Currently deployed on your website - Actively collecting user feedback - Receiving real time responses - Contributing to your analytics data Inactive Widgets - Configured but temporarily disabled - Not showing to website visitors - Can be reactivated quickly when needed - Preserve all historical data Draft Widgets - In configuration or testing phase - Not visible to end users - Allow for testing and refinement - Can be published when ready Collecting User Feedback How Widgets Appear to Users Once active, your feedback widgets will: - Display according to your configured rules - Show rating options with emoji indicators - Present custom questions and prompts - Collect responses in real-time User Interaction Flow 1. Widget Display: Widget appears based on your trigger rules 2. User Engagement: User sees the feedback prompt 3. Response Collection: User provides rating and/or comments 4. Data Capture: System records all response data and metadata 5. Thank You Message: User sees confirmation of submission

Last updated on May 27, 2025

Types of Feedback Widget Collected on Crowd

Starting Your Feedback Collection When creating a new widget, you have several template options to choose from, each designed for specific feedback collection needs and methodologies. Blank Widget Templates Blank Single Feedback Widget - Purpose: Create a custom single question feedback collection tool - Best For: Simple, focused feedback requests - Customization: Complete control over question type, styling, and targeting - Use Cases: - Quick satisfaction checks - Specific feature feedback - Post-interaction surveys Blank Multiple Feedback Widget - Purpose: Build multi-question feedback forms from scratch - Best For: Comprehensive feedback collection - Customization: Add multiple question types, logic, and workflows - Use Cases: - Detailed user experience surveys - Product feedback forms - Multi-step feedback processes Pre-Built Widget Templates Emoji Rating CSAT Feedback Category: Single Feedback | Marketing | Research Features: - Visual emoji-based rating system (😞 😐 😊 😄 😍) - Customer Satisfaction (CSAT) scoring - Intuitive user experience with emotional indicators - Progress bar showing response distribution Best For: - Quick emotional response collection - User-friendly satisfaction measurement - High response rate scenarios - Mobile-optimized feedback Industries: E-commerce, SaaS, Customer Service, Hospitality Net Promoter Score (NPS) Category: Single Feedback | Strategy | Research Features: - Traditional 0-10 NPS scoring scale - Automatic calculation of Detractors, Passives, and Promoters - Comprehensive analytics dashboard - Benchmark comparison capabilities Best For: - Measuring customer loyalty - Tracking brand advocacy - Long-term customer relationship insights - Industry benchmarking Key Metrics: - Overall NPS Score (displayed prominently) - Percentage breakdown by category - Trend analysis over time Star Rating CSAT Feedback Category: Single Feedback | Marketing | Research Features: - Classic 5-star rating system - Familiar user interface - Clean, professional appearance - Easy integration with review systems Best For: - Product reviews - Service quality assessment - Professional service feedback - B2B customer satisfaction Advantages: - Universal recognition - Professional appearance - Easy data interpretation - Integration-friendly format Advanced Widget Templates Survey & Research Widgets Based on the interface shown, additional specialized templates include: Multi-Question Surveys: - Complex feedback forms - Conditional logic - Progress tracking - Data export capabilities Rating Scale Variations: - Numerical scales (1-10) - Likert scales - Binary yes/no options - Custom scale definitions Widget Categories Explained Single Feedback - One primary question or rating - Quick user interaction - High completion rates - Focused data collection Marketing - Brand perception measurement - Campaign effectiveness - Customer advocacy tracking - Market research applications Research - Academic and professional research - Detailed analytics - Statistical analysis tools - Export capabilities for further analysis Strategy - Business decision support - Long-term trend tracking - Competitive analysis - ROI measurement Choosing the Right Widget Type Consider Your Goals For Quick Insights: - Emoji Rating CSAT - Star Rating CSAT - Simple binary feedback For Detailed Analysis: - Net Promoter Score - Multi-question surveys - Custom blank widgets For Ongoing Monitoring: - NPS for loyalty tracking - CSAT for satisfaction trends - Custom metrics for specific KPIs Consider Your Audience Consumer-Facing: - Emoji ratings (fun and engaging) - Star ratings (familiar format) - Visual, intuitive interfaces Business Users: - NPS (professional standard) - Detailed surveys - Comprehensive analytics Mobile Users: - Large touch targets - Simple interactions - Fast loading times Implementation Best Practices Template Selection Strategy 1. Start Simple: Begin with pre-built templates 2. Test and Learn: Use A/B testing between widget types 3. Customize Gradually: Modify templates based on response patterns 4. Scale Complexity: Add more sophisticated widgets as needed Multi-Widget Approach - Use different widget types for different touchpoints - Combine quick ratings with detailed surveys - Create widget funnels for progressive feedback collection Performance Optimization - Choose widgets appropriate for your traffic patterns - Consider mobile responsiveness - Optimize for your target response rates Next Steps After Widget Selection 1. Configure Settings: Customize appearance, targeting, and timing 2. Set Up Analytics: Define success metrics and reporting schedules 3. Test Implementation: Verify widget performance across devices 4. Monitor Performance: Track response rates and data quality 5. Iterate and Improve: Refine based on user behavior and feedback quality Advanced Customization Options Visual Customization - Brand colors and fonts - Custom icons and imagery - Responsive design adjustments - Animation and interaction effects Behavioral Targeting - Page-specific triggers - User behavior-based display - Time-based activation - Exit-intent detection Data Integration - CRM system connections - Analytics platform integration - Automated reporting - Real-time notifications Choose the widget type that best aligns with your feedback collection goals, and remember that you can always create multiple widgets for different purposes and audiences.

Last updated on May 27, 2025

Understanding Insights, Metrics, and AI Analysis for Feedback Widgets

Navigating Widget Analytics Accessing Widget Analytics 1. From your Widgets dashboard, click on any active widget 2. You will see the widgets detailed analytics Widget Analytics Interface Overview The analytics interface provides: - Time Period Filters: Custom, Today, This week, This month, All time - Search Functionality: Find specific responses or keywords - Export Options: Download data for external analysis - Real-time Updates: Live data as new responses come in Understanding the Insights Dashboard Main Insights Sections The Insights tab is divided into three powerful sections: 1. Insights - Overview Analytics: High level performance indicators - User Behavior Patterns: How users interact with your widgets - Satisfaction Trends: Quick view of overall user sentiment 2. Metrics - Performance Indicators: Detailed engagement statistics - Response Analysis: Breakdown of feedback types and sources - Technical Analytics: Device, browser, and geographic data 3. AI Analysis - Automated Insights: AI-generated summaries and patterns - Interactive Chat: Ask questions about your data - Trend Recognition: AI-identified patterns in feedback Responses Analysis Individual Response Management - Satisfaction Ratings: Visual emoji indicators with numerical scores (1.0-5.0) - Tell us about your experience: Complete user comments and suggestions - Email: User contact information (when provided) - User ID: Unique identifiers for tracking user journeys - Country: Geographic location data - Action: Context of what user was doing when providing feedback Detailed Response Views Clicking "View Detail" reveals comprehensive information: Metrics Deep Dive Key Performance Indicators The Metrics section provides essential engagement statistics: Primary Metrics - Impressions : Number of times widget was displayed to users - Engagements : Number of user interactions with the widget - Submissions : Total completed feedback responses - Link Clicks : Clicks on any links within the widget - Average Submission Time : Time users take to complete feedback Advanced Analytics Charts Responses by Feedback Type Pie Chart Breakdown: - CSAT Responses: Customer satisfaction feedback (10 responses) - Bug Reports: Technical issue reports (5 responses) - Feature Requests: User suggestions for new features (3 responses) - Net Score: Net Promoter Score feedback (7 responses) Geographic Analysis - Responses by Country Global Distribution: - Nigeria: 22 responses (majority of feedback) - United Kingdom: 3 responses - Other Regions: Additional geographic breakdown - Regional Insights: Understanding user base distribution Technical Analytics Responses by Device: - Mobile Devices: Smartphone and tablet usage - Desktop Computers: Traditional computer access - Device-Specific Insights: Optimization opportunities for popular devices Responses by Operating System: - iOS: Apple device users - Android: Google platform users - Windows: Microsoft system users - Technical Optimization: Understanding technical user base Analytics Interpretation These metrics help you understand: - Widget Performance: How effectively widgets capture user attention - User Engagement: Quality of user interaction with feedback requests - Response Quality: Completion rates and submission success - Technical Optimization: Device and platform performance insights AI Analysis and Chat Features Crowd's AI Analysis provides revolutionary feedback analysis capabilities: Generate AI Summary Feature - One-Click Analysis: Generate comprehensive insights instantly - Pattern Recognition: AI identifies trends humans might miss - Automated Reporting: Quick summaries without manual analysis - Time Savings: Get insights in minutes instead of hours Interactive AI Chat Key Features: - Natural Language Queries: Ask questions in plain English - Data Exploration: "What are users most unhappy about?" - Trend Analysis: "How has satisfaction changed this month?" - Comparative Insights: "Which countries give the highest ratings?" What AI Can Tell You: - Sentiment Patterns: Overall emotional trends in feedback - Common Themes: Recurring topics in user comments - Satisfaction Drivers: What makes users happy or unhappy - Improvement Opportunities: Areas requiring attention - Seasonal Trends: Time-based patterns in feedback - User Segment Insights: Different user group behaviors Using AI Chat Effectively Sample Questions to Ask AI: - "What are the main reasons for low ratings?" - "Which features do users request most often?" - "How does mobile satisfaction compare to desktop?" - "What bugs are reported most frequently?" - "Which countries have the highest satisfaction?" - "What improvement suggestions appear most often?" AI Response Types: - Statistical Summaries: Quantitative insights with percentages - Trend Analysis: Changes over time with explanations - Categorical Breakdowns: Organized insights by topic - Actionable Recommendations: Specific suggestions for improvement AI Analysis Benefits - Speed: Instant insights without manual data processing - Accuracy: AI processes all data without human oversight errors - Comprehensive: Analyzes patterns across all feedback simultaneously - Objective: Unbiased analysis of user sentiment and feedback - Scalable: Handles increasing volumes of feedback automatically Advanced Analytics Features Custom Time Period Analysis Set specific date ranges to analyze: - Campaign Performance: Analyze feedback during specific marketing campaigns - Product Launch Impact: Measure satisfaction before and after releases - Seasonal Trends: Understanding patterns during different times of year - Issue Resolution: Track satisfaction changes after fixing reported problems Cross-Reference Analytics Combine feedback widget data with: - Website Analytics: Correlate satisfaction with user behavior - Sales Data: Understand relationship between satisfaction and conversions - Support Tickets: Compare widget feedback with formal support requests - User Journey: Map feedback to specific user experience touchpoints Export and Integration Options - Data Export: Download raw data for advanced analysis - API Integration: Connect feedback data with other business tools - Automated Reports: Set up regular analytics summaries - Team Sharing: Distribute insights to relevant stakeholders Using Data for Business Decisions Product Development Insights Prioritizing Features: - Use feature request frequency to guide development roadmap - Identify most requested improvements from user comments - Understand user pain points requiring immediate attention Quality Assurance: - Track bug report patterns to identify systematic issues - Monitor satisfaction trends after bug fixes - Use device/browser data to prioritize compatibility testing Customer Experience Optimization Satisfaction Improvement: - Identify specific user journey points causing dissatisfaction - Use geographic data to address regional experience issues - Monitor satisfaction trends to measure improvement efforts User Retention: - Correlate satisfaction scores with user behavior patterns - Identify at-risk user segments through feedback analysis - Develop targeted retention strategies based on feedback themes Marketing and Sales Intelligence Customer Sentiment: - Use satisfaction data for customer testimonials and case studies - Understand brand perception through qualitative feedback - Identify customer advocates through high satisfaction scores Market Research: - Geographic feedback patterns reveal market preferences - Device usage data informs marketing channel optimization - User suggestions guide product positioning and messaging Best Practices for Analytics Regular Analysis Schedule - Daily: Quick checks for urgent issues or concerning trends - Weekly: Comprehensive review of satisfaction trends and new feedback - Monthly: Deep dive analysis using AI chat and comprehensive reports - Quarterly: Strategic analysis for business planning and product roadmap Effective AI Chat Usage - Specific Questions: Ask targeted questions rather than general queries - Follow-up Queries: Build on AI responses with deeper questions - Cross-Reference: Combine AI insights with manual observation - Action Planning: Use AI insights to create specific improvement plans Data-Driven Decision Making - Quantify Impact: Measure satisfaction changes after implementing feedback - Prioritize by Volume: Address issues mentioned by multiple users first - Balance Feedback: Consider both positive and negative feedback for complete picture - Track Progress: Monitor satisfaction trends after making changes Team Collaboration - Share Insights: Distribute relevant analytics to appropriate team members - Regular Reviews: Schedule team meetings to discuss feedback trends - Action Assignment: Assign specific team members to address feedback themes - Success Tracking: Measure team efforts through satisfaction improvements By mastering these insights, metrics, and AI analysis features, you will transform user feedback into powerful business intelligence that drives meaningful improvements and enhanced user satisfaction.

Last updated on May 27, 2025