Transaction Fraud Questions By Persona

Application Description

Credit card transaction fraud detection identifies and prevents unauthorized or deceptive transactions in real time. It analyzes transaction data, including cardholder information, transaction details, and historical patterns, to detect anomalies and suspicious activity indicative of fraud. TigerGraph models complex relationships and patterns among entities such as cardholders, merchants, transactions, and geographic locations. This enables the detection of fraudulent networks and patterns that may be difficult to uncover using traditional relational databases. Using graph algorithms enables organizations to detect and respond to fraudulent transactions quickly and efficiently, ultimately reducing financial losses and protecting consumers from fraudulent activity.

List of Personas

1. Fraud Analyst
2. Customer Service Representative
3. Compliance Officer
4. Risk Manager
5. Auditor
6. Data Scientist
7. Operations Manager

Persona Questions

Persona: Fraud Analyst

1. What is the overall fraud rate for [time period]?
2. Are there any unusual transaction patterns from [specific geographic location] in the [time period]?
3. Can I have a list of all fraudulent transactions made by [specific cardholder]?
4. Who are the top [number] cardholders with the highest number of suspicious transactions in [time period]?
5. Which [merchants] have the highest amount of fraudulent transactions?
6. How many fraudulent transactions were detected in real-time in the [time period]?
7. What types of fraud were most common in the [time period]?
8. What is the total amount loss due to fraud in the [time period]?
9. What are the common characteristics of fraudulent transactions?
10. Can you show me the fraud detection trend over the past [time period]?
11. What is the fraud rate for [specific card type] during [time period]?
12. Which [geographic location] has the highest number of fraudulent transactions within [time period]?
13. Are there any recurring suspicious transactions associated with [specific cardholder]?
14. What are the most frequent types of transactions associated with fraud events?
15. Which days of the [time period] recorded the highest frequency of fraudulent transactions?
16. Are there any new types of fraud that have emerged in the [time period]?
17. What is the percentage increase or decrease in fraud cases from the previous [duration] to the current [duration]?
18. Is there a particular [time of day/week] that has a notably high number of fraudulent activities?
19. How many confirmed fraud transactions were identified by the system in [time period]?
20. Can I drill down to the details of fraudulent transactions made in [specific geographic location] during [time period]?

Persona: Customer Service Representative

1. What is the current fraud risk level for the cardholder with ID [Cardholder ID]?
2. Could you pull up the transaction details for transaction ID [Transaction ID]?
3. Have any recent transactions been flagged for fraud for cardholder [Cardholder ID] in the last [Time Period]?
4. Please provide a list of all the transactions made by cardholder [Cardholder ID] from [Date From] to [Date To].
5. Could you tell me the number of transactions made at [Merchant Name] in the past [Time Period]?
6. What is the transaction limit for the cardholder with ID [Cardholder ID]?
7. Have there been any suspicious transactions in [Geographic Location] in the past [Time Period]?
8. Could you show me all transactions flagged as fraudulent in the last [Time Period]?
9. Are there any known fraudulent patterns associated with the cardholder [Cardholder ID]?
10. Can you generate a fraud risk report for all transactions in the [Time Period]?
11. Were there any transactions made outside the cardholder's typical [Geographic Location] in the past [Time Period]?
12. Are there any transactions that exceed the normal spend pattern of cardholder [Cardholder ID]?
13. What is the current status of the account linked to card [Card Number]?
14. Were there any declined transactions for cardholder [Cardholder ID] for the last [Time Period]?
15. Have there been any recurrent transactions from the same [Merchant Name] for cardholder [Cardholder ID] in the past [Time Period]?
16. Pull up the list of all merchants associated with flagged transactions in the last [Time Period].
17. Display the total number of transactions made in the past [Time Period] by cardholder [Cardholder ID].
18. Have there been any transactions from cardholder [Cardholder ID] that were flagged as high risk in the past [Time Period]?
19. Could you pull up the shopping pattern of cardholder [Cardholder ID] over the past [Time Period]?
20. Pull up the history of all flagged transactions for cardholder [Cardholder ID].

Persona: Compliance Officer

1. What is the current fraud detection rate for [time period]?
2. Are there any unusual patterns or anomalies that have been detected in [geographic location] in the last [time period]?
3. What is the total value of potential fraudulent transactions detected in [time period]?
4. How many fraudulent transactions have been detected from [merchant name] over the [time period]?
5. What is the current rate of false positives in our fraud detection in the [time period]?
6. Show me the profile of [cardholder name] including transaction history and fraud detection alerts.
7. Can I see a summary of all recent fraudulent transactions for [geographic location] in the last [time period]?
8. How has our fraud detection performance changed over the [time period]?
9. How specific are our geographic location tracking in detecting fraudulent transactions?
10. Show me the fraudulent networks identified in [geographic location] in the past [time period].
11. How efficient is our current response time to detected fraudulent transactions?
12. Are there any recurring indicators or patterns amongst the most recent fraudulent transactions in [geographic location]?
13. What are the most common types of fraud detected in the [time period]?
14. Is there a particular time or period when fraudulent activities spike in [geographic location]?
15. What merchants are most commonly involved in fraudulent transactions in [geographic location]?
16. What is the financial loss prevented due to our fraud detection in [time period]?
17. Can you show me a summary of all transactions made by [cardholder name] over the [time period]?
18. How many cardholders were affected by fraudulent transactions in [geographic location] during the [time period]?
19. What measures or algorithms are currently being used to detect potential credit card fraud?
20. What is our action plan when fraudulent transactions are detected?

Persona: Risk Manager

1. What was the total amount of fraudulent transactions detected in the last [time period]?
2. How many fraudulent transactions have occurred in [geographic location] in the past [time period]?
3. What is the trend of fraudulent transactions in the last [time period]?
4. Could you identify the top [number] merchants with the highest number of fraudulent transactions in the last [time period]?
5. Are there any recurring patterns or behaviors identified in fraudulent transactions in the recent [time period]?
6. What are the most common types of fraud detected in [geographic location] over the last [time period]?
7. How many cardholders have been potential victims of fraudulent transactions in the past [time period]?
8. Can you show me the details of the most recent fraudulent transaction?
9. What are some of the common characteristics or patterns of fraudulent transactions in [specific industry or sector]?
10. How effective has our detection system been in identifying and preventing fraudulent transactions in the past [time period]?
11. Are there any significant changes or spikes in fraudulent activity over the last [time period]?
12. How many transactions are flagged as suspicious in the [time period]?
13. Can you highlight any new emerging patterns of fraud that we have not seen before?
14. What were our response times to fraudulent activity over the past [time period]?
15. What percentage of fraudulent transactions were proceeded by suspicious behaviour in the last [time period]?

Persona: Auditor

1. How many suspected fraudulent transactions have been detected within the [time period]?
2. Can you provide a list of all the transactions performed by [cardholder's name or card number] that have been flagged as potentially fraudulent?
3. Can I view the fraud detection results for [specific transaction ID]?
4. What is the total monetary value of the suspected fraudulent transactions in [geographic location] within the [time period]?
5. Can you provide a geographical breakdown of where the suspected fraudulent transactions have occurred within the [time period]?
6. What are the most common types of fraudulent transactions detected in the system within the [time period]?
7. How many transactions have been made at [specific merchant] that have been flagged as potentially fraudulent within the [time period]?
8. What pattern of behavior or type of transaction has led to the most number of fraud detections within the [time period]?
9. Can you produce a report detailing the trend of fraudulent activity over the [time period]?
10. What is the highest value fraudulent transaction that has been detected on [specific date]?
11. How effective has our system been in detecting and preventing fraudulent transactions during [time period]?
12. Which cardholder has had the most transactions flagged as suspicious within the [time period]?
13. Can we analyze the timing pattern of transactions linked to a specific [card number] to identify fraud?
14. What fraud patterns are most common among transactions made in [specific geographic location]?
15. Can you provide a list of cardholders who have had more than [specific number] transactions flagged as fraudulent?

Persona: Data Scientist

1. What were the total number of fraud cases detected in the [time period]?
2. Can I get a list of all the fraudulent transactions that occurred in [geographic location] during the [time period]?
3. Who are the top [number] cardholders with the most number of fraudulent transactions in the past [time period]?
4. What is the pattern of fraudulent activities that occurred between [specific time period]?
5. Can you provide a summary of the most common anomalies detected in credit card transactions?
6. What is the most common fraudulent network detected in [geographic location]?
7. Can I get an overview of the fraud detection accuracy rate for the last [time period]?
8. How many fraudulent cases were detected using TigerGraph's graph algorithms for the [time period]?
9. Which merchants have been most involved in fraudulent transactions over [time period]?
10. How does the pattern of fraudulent activities in [current year] compare to the previous [number of years]?
11. I would like to know the trend of fraudulent activities on a [daily/weekly/monthly] basis.
12. What merchant categories have the highest frequency of detected fraudulent transactions in [geographic location] over [time period]?
13. What are the peak hours for fraudulent transactions in [geographic location]?
14. Can you generate a report showcasing the effectiveness of our existing fraud detection measures over the [time period]?
15. How many unauthorised transactions were detected in real-time in the last [weeks/months/years]?.
16. Which credit cards were used the most in fraudulent transactions over the past [time period]?
17. Are there any identified suspicious networks operating in [geographic location]?
18. What is the typical demographic profile of a cardholder involved in fraudulent activities found in our data?
19. How much financial loss was prevented by detecting fraud activities in the last [time period]?
20. What fraud trends have that we seen in [geographic location] in the past [time period]?

Persona: Operations Manager

1. What is the total number of fraudulent transactions detected in the [time period]?
2. How much money [in USD] was involved in fraudulent transactions in the [time period]?
3. Can you provide details of all transactions flagged as fraudulent on [specific date]?
4. What is the most common type of fraud detected in the [time period]?
5. Which [geographic location] has the highest number of fraudulent transactions in the [time period]?
6. How many repeat offenders were identified in the [time period]?
7. Can you provide a breakdown of fraudulent transactions by [type of fraud] in the [time period]?
8. Have there been any unusual uptick in fraudulent transactions in the [time period]?
9. What were the top 5 merchants associated with fraudulent transactions in the [time period]?
10. What percentage of total transactions were flagged as fraudulent in the [time period]?
11. Can you list the most significant fraudulent transaction [amount in USD] in the [time period]?
12. What is the trend of fraudulent transactions over the [time period]?
13. How many new fraudulent cardholders have been identified in the [time period]?
14. Which cardholder had the maximum number of fraudulent transactions in the [time period]?
15. Can you provide a report of all cardholders who had fraudulent transactions above [amount in USD] in the [time period]?