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Take the Complaint Category Matching Quiz

Test Your Complaint Classification with Engaging Quiz

Difficulty: Moderate
Questions: 20
Learning OutcomesStudy Material
Colorful paper art design for a Complaint Category Matching Quiz game.

Feeling ready to sort customer feedback effectively? This Complaint Category Matching Quiz offers 15 targeted questions to test your complaint categories and classification knowledge. It's perfect for customer service specialists, quality assurance teams, and anyone honing complaint classification skills. All quiz items are fully editable in our editor - customise content as needed and even try the Data Matching Skills Assessment or the Employee Office Matching Quiz for more practice. Ready to explore more? Check out all our quizzes now.

A customer complains that their package arrived three days later than promised. Which complaint category best matches this scenario?
Delivery Delay
Wrong Item Received
Product Quality Issue
Billing Error
The complaint describes a delay in the shipment, so it falls under the Delivery Delay category. Other categories like wrong item or billing error do not relate to shipping time.
A customer reports that they received a different product than what they ordered. Which complaint category should this feedback be assigned to?
Wrong Item Received
Billing Error
Delivery Delay
Technical Issue
Receiving a product different from what was ordered is clearly a Wrong Item Received complaint. Other options do not pertain to incorrect shipment content.
A customer is upset about being charged twice for a single purchase. What complaint category applies to this situation?
Billing Error
Delivery Delay
Product Quality Issue
Customer Service
Being charged incorrectly is a Billing Error complaint. Other categories such as delivery or service quality do not address payment mistakes.
A customer states that the product stopped working on the first day they used it. Which category matches this complaint?
Product Quality Issue
Delivery Delay
Billing Error
Missing Accessories
A product failing immediately indicates a Product Quality Issue. Delivery, billing, or missing parts are unrelated to functionality defects.
A customer complains that the support representative was rude and unhelpful. Which complaint category best fits?
Customer Service
Product Quality Issue
Technical Issue
Billing Error
Rudeness and lack of assistance are issues in Customer Service. Other categories focus on product or technical problems, not agent behavior.
During checkout, a customer experiences a website error preventing them from completing their purchase. Which complaint category best describes this issue?
Technical Issue
Billing Error
Delivery Delay
Product Quality Issue
A website error during checkout is a Technical Issue. It does not relate to payment, shipping, or product performance.
A customer receives an undamaged product but notices that the packaging was torn upon arrival. Under which category should this complaint be classified?
Product Quality Issue
Delivery Delay
Customer Service
Billing Error
Damaged packaging is considered part of the overall product quality experience. It is not a billing or delivery time concern.
A customer is upset about being charged an unexpected shipping fee after checkout. Which category fits this complaint?
Billing Error
Pricing Dispute
Delivery Delay
Customer Service
An unexpected fee indicates a mistake or confusion in billing. It is not strictly a pricing negotiation or shipping timing issue.
A customer complains that the user manual was not included with the product. Which complaint category should be assigned?
Documentation Issue
Missing Accessories
Product Quality Issue
Customer Service
The absence of the user manual is a Documentation Issue, as it relates to missing instructional materials rather than physical components.
A customer reports that their warranty claim was denied despite following all instructions. Which category should this complaint be classified under?
Warranty Claim
Product Quality Issue
Billing Error
Technical Issue
A denied warranty request is specifically a Warranty Claim issue. Other options do not address service agreements or guaranteed repairs.
A customer demands a price match after finding a lower price elsewhere. Which complaint category does this represent?
Pricing Dispute
Billing Error
Customer Service
Delivery Delay
Requesting a price match is a Pricing Dispute because it involves disagreement over the cost rather than billing mistakes or service quality.
A customer wants to return a product they purchased but haven't opened it yet due to a change of mind. Which category applies?
Return Request
Product Quality Issue
Billing Error
Customer Service
Returning an unopened product for personal reasons is a Return Request. It does not relate to defects or billing mistakes.
A customer states that they received the product without necessary components or accessories. Which complaint category is appropriate?
Missing Accessories
Product Quality Issue
Delivery Delay
Technical Issue
The complaint refers specifically to missing parts or accessories, so Missing Accessories is the correct category. Quality or timing issues are not mentioned.
A customer complains about the rude tone of the support agent during a phone call. Which category best fits this feedback?
Customer Service
Product Quality Issue
Technical Issue
Billing Error
Rudeness from an agent is directly related to Customer Service experience. It does not involve product defects or technical faults.
A customer is upset that their subscription auto-renewed without prior notice. Which complaint category should this be classified as?
Billing Error
Customer Service
Technical Issue
Delivery Delay
An unexpected charge due to auto-renewal is a Billing Error. It is not a service behavior or a system malfunction.
Which classification metric measures the proportion of correctly classified complaints out of all processed complaints?
Accuracy
Precision
Recall
F1 Score
Accuracy is defined as the number of correct classifications divided by the total number of classifications. Other metrics focus on specific types of errors or balances between precision and recall.
When the goal is to minimize the number of missed relevant complaints, which metric focuses on this aspect?
Recall
Precision
Accuracy
Specificity
Recall measures the proportion of actual relevant cases that are correctly identified, helping to reduce missed complaints. Precision, on the other hand, measures the accuracy of positive predictions.
A customer feedback mentions both a defective product and an unexpected charge. Which classification approach allows assigning multiple categories to this single complaint?
Multi-label classification
Binary classification
Multi-class classification
Clustering
Multi-label classification enables each instance to be assigned multiple categories, reflecting all issues present. Multi-class and binary approaches limit assignments to a single label or two classes.
To improve classification over time by adjusting the set of complaint types based on new insights, which process is essential?
Taxonomy refinement
Model training
Data augmentation
Feature engineering
Taxonomy refinement involves updating and reorganizing complaint categories to reflect evolving feedback patterns. Other processes may enhance models or data but do not directly revise category definitions.
Which strategy involves human review of low-confidence classification cases to enhance overall accuracy?
Human-in-the-loop
Fully automated processing
Rule-based automation
Batch labeling
Human-in-the-loop combines automated classification with manual checks for uncertain cases, reducing errors. Fully automated or rule-based systems lack this manual quality control step.
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Learning Outcomes

  1. Analyse common complaint scenarios to assign correct categories.
  2. Identify key complaint types and their appropriate classifications.
  3. Apply systematic approaches to match customer feedback to categories.
  4. Evaluate classification accuracy to reduce processing errors.
  5. Demonstrate mastery of complaint category matching techniques.

Cheat Sheet

  1. Master the Four Complaint Categories - Get to know the four superstar complaint types - customer service goofs, insurance coverage mysteries, legal tangles, and billing headaches. By sorting complaints into these buckets, you'll quickly spot trends and prioritize fixes. Computational Analysis of Insurance Complaints: GEICO Case Study
  2. Computational Analysis of Insurance Complaints: GEICO Case Study
  3. Uncover Hierarchical Complaint Patterns - Learn how companies face smaller complaints only after bigger issues bubble up first. This hierarchy helps you predict where trouble will strike next and shape your proactive game plan. The Network Organisation of Consumer Complaints
  4. The Network Organisation of Consumer Complaints
  5. Explore Topic Modeling Magic - Discover how clever algorithms sift through mountains of feedback to find recurring themes. Topic modeling turns chaos into clear categories so you can tackle the biggest pain points first. Computational Analysis of Insurance Complaints: GEICO Case Study
  6. Computational Analysis of Insurance Complaints: GEICO Case Study
  7. Value of Online Feedback - Online complaints are goldmines for customer insight - if you know how to mine them. Efficient analysis can reveal simple fixes that boost satisfaction and loyalty overnight. Computational Analysis of Insurance Complaints: GEICO Case Study
  8. Computational Analysis of Insurance Complaints: GEICO Case Study
  9. Spot Resolution vs. Volume Links - Surprisingly, how many issues get solved doesn't hinge on a firm's wealth but on how many complaints land on its desk. This insight helps you balance your team's workload and expectations. The Network Organisation of Consumer Complaints
  10. The Network Organisation of Consumer Complaints
  11. Build Complaint Feature Vectors - Turn each company's complaint stats into a numerical fingerprint by counting issues per category. These vectors let you cluster similar companies and predict emerging problem areas. The Network Organisation of Consumer Complaints
  12. The Network Organisation of Consumer Complaints
  13. Simplify with PCA - Principal Component Analysis is your secret weapon to shrink complex complaint data into bite-sized insights. PCA flags the biggest drivers behind patterns so you can focus on what truly matters. The Network Organisation of Consumer Complaints
  14. The Network Organisation of Consumer Complaints
  15. Characterize Major Complaint Topics - Computational tools help you map the hot topics raging across thousands of comments. By spotlighting key themes, you'll equip teams to fix root causes instead of just treating symptoms. Computational Analysis of Insurance Complaints: GEICO Case Study
  16. Computational Analysis of Insurance Complaints: GEICO Case Study
  17. Overcome Human Limitations - Sorting through an avalanche of complaints by hand is a recipe for missed insights and burned-out analysts. Automated methods supercharge your workflow for faster, more accurate results. Computational Analysis of Insurance Complaints: GEICO Case Study
  18. Computational Analysis of Insurance Complaints: GEICO Case Study
  19. Use Network Analysis for Deeper Insights - Network graphs reveal hidden connections between complaint types and companies, uncovering clusters you never knew existed. This big-picture view guides smarter strategy and targeted improvements. The Network Organisation of Consumer Complaints
  20. The Network Organisation of Consumer Complaints
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