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)
- Use manual tagging or AI/NLP models to classify feedback into categories such as:
- 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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