Lära Automating Customer Satisfaction Surveys | Automating Customer Success Workflows

Python for Customer Success Managers

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Customer satisfaction surveys are essential tools for understanding how your customers feel about your product or service. Traditionally, sending and tracking these surveys can be time-consuming and prone to errors if managed manually. By automating survey management with Python, you can save time, reduce mistakes, and ensure that every customer receives and responds to surveys in a timely manner. Automation allows you to track responses efficiently, follow up with non-respondents, and quickly analyze feedback to drive customer success improvements.


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# Simulate sending surveys and tracking responses

customers = ["Alice", "Bob", "Charlie", "Dana", "Eve"]
survey_status = {}

# Send surveys and mark as 'Sent'
for customer in customers:
    survey_status[customer] = "Sent"

# Simulate responses
survey_status["Alice"] = "Responded"
survey_status["Dana"] = "Responded"

print("Survey tracking:")
for customer, status in survey_status.items():
    print(f"{customer}: {status}")

In the code above, you use a dictionary called survey_status to keep track of each customer's survey status. When a survey is sent, you mark the status as "Sent". As customers respond, you update their status to "Responded". This approach makes it easy to see who has replied and who still needs a follow-up. By updating the dictionary as responses come in, you can calculate response rates and focus your attention on customers who have not yet replied. This method ensures your survey process is organized and efficient.


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# Summarize survey results and find non-respondents

responded = [name for name, status in survey_status.items() if status == "Responded"]
not_responded = [name for name, status in survey_status.items() if status != "Responded"]

print("\nSummary:")
print(f"Total customers: {len(customers)}")
print(f"Responses received: {len(responded)}")
print(f"Response rate: {len(responded)/len(customers)*100:.1f}%")
print("Customers who have not responded:", ", ".join(not_responded))

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Avsnitt 3. Kapitel 2

Automating Customer Satisfaction Surveys

1. What is the main benefit of automating survey tracking?

2. How can you use a dictionary to manage survey responses?

3. Why is it important to follow up with non-respondents?