I'll create a comprehensive client feedback webpage that combines feature voting with insightful questionnaires to help you gather valuable product insights.

I've created a comprehensive product feedback system that combines feature voting with detailed questionnaires to gather valuable client insights. Here's what the system includes:

Key Features:

🗳️ Feature Voting System

• Interactive voting cards with vote counts and progress bars
• Priority and effort indicators for each feature
• One-vote-per-feature limitation with visual feedback
• Real-time vote tracking and sorting

📊 Insights Questionnaire

• Motivation assessment (open-ended)
• Value proposition evaluation (multiple choice)
• Risk and concern identification (checkboxes)
• Feature category priority rating (1-5 scale)
• Additional feedback collection
• Optional contact information

📈 Results Dashboard

• Live voting results with rankings
• Engagement statistics
• Development priority matrix (effort vs priority)
• Category-based analysis

Strategic Benefits:

1. Client Engagement: Interactive voting keeps clients invested in your product roadmap
2. Data-Driven Decisions: Quantitative voting data combined with qualitative insights
3. Risk Assessment: Understanding client concerns helps mitigate adoption risks
4. Priority Alignment: Ensures development efforts match client needs
5. Professional Presentation: Clean, modern interface suitable for client-facing use

The system is fully responsive and includes proper state management, form validation, and user feedback through toast notifications.

I'll modify the system to show a tailored insights survey for each feature that users vote for. This will give you much more specific and actionable feedback.

I've transformed the system to provide feature-specific insights surveys that appear immediately after voting. Here's what's new:

Key Improvements:

Feature-Specific Surveys

• Each feature has tailored questions based on its category and purpose
• Questions are contextually relevant (e.g., Analytics asks about data insights, Mobile asks about usage scenarios)
• Surveys appear in a modal immediately after voting

Detailed Question Types

• Motivation: Feature-specific open-ended questions
• Perceived Value: Multiple choice options relevant to each feature
• Risk Assessment: Feature-specific risk concerns
• Priority Rating: 1-5 scale for organizational priority
• Use Case: Specific workflow descriptions
• Timeline: When they need the feature
• Additional Requirements: Open feedback

Enhanced Analytics

• Feature-specific insights showing average priority, top values, and common risks
• Survey completion tracking with visual indicators
• Detailed breakdown of responses per feature
• Completion rate metrics

What You'll Learn:

For each feature, you'll get insights on:

• Why clients want it (specific motivations)
• What value they expect to gain
• What risks concern them most
• How urgent it is for their organization
• Specific use cases and workflows
• Timeline expectations

This gives you much more actionable data than generic surveys - you'll know exactly why someone wants "Advanced Analytics" vs "Mobile App" and can prioritize accordingly.