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SayPro Consumer feedback collection and classification

SayPro is a Global Solutions Provider working with Individuals, Governments, Corporate Businesses, Municipalities, International Institutions. SayPro works across various Industries, Sectors providing wide range of solutions.

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Consumer Feedback Collection & Classification Framework

1. Feedback Collection

  • Channels to Use:
    • Online surveys (email, website pop-ups)
    • Social media monitoring (comments, mentions)
    • Customer support interactions (calls, chats, tickets)
    • Product reviews & ratings
    • Focus groups and interviews
    • Feedback forms within the SayPro platform or app
  • Key Tips:
    • Keep feedback requests short and easy to complete.
    • Use a mix of quantitative (ratings, scales) and qualitative (open-ended) questions.
    • Incentivize feedback with rewards or recognition if appropriate.

2. Feedback Classification

  • Step 1: Preprocessing
    • Clean text data (remove spam, irrelevant content).
    • Normalize language (spell check, unify synonyms).
  • Step 2: Categorization (Topic/Theme Identification)
    • Use manual tagging or AI/NLP models to classify feedback into categories such as:
      • Product Quality
      • Customer Service
      • Pricing
      • User Experience
      • Features & Functionality
      • Delivery & Logistics
      • Other (with subcategories as needed)
  • Step 3: Sentiment Analysis
    • Label feedback as Positive, Neutral, or Negative.
    • Optionally, assign intensity scores (e.g., scale from -5 to +5).
  • Step 4: Priority/Impact Assessment
    • Identify high-impact feedback that needs urgent action.
    • Flag recurring issues or frequently praised features.

3. Tools & Methods

  • Manual:
    • Excel/Google Sheets with filters and tags.
    • Coding frameworks like Python (NLTK, spaCy) for text classification.
  • Automated/AI-driven:
    • Use GPT or other LLMs for topic extraction and sentiment scoring.
    • Integrate feedback platforms like Qualtrics, Medallia, or custom dashboards.
    • Use API-based sentiment analysis tools (e.g., Google Cloud Natural Language, Azure Text Analytics).

4. Reporting & Action

  • Summarize classified feedback monthly/quarterly.
  • Visualize key themes and sentiment trends with charts or dashboards.
  • Share actionable insights with relevant teams (product, marketing, support).
  • Track feedback resolution and measure impact of changes.

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