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Measuring customer support resolution time means calculating how long it takes your team to fully resolve customer issues. This metric helps you understand your support efficiency and identify areas for improvement.
Why this comes up / what goes wrong
Many small businesses in Singapore handle customer support informally through WhatsApp, email, or spreadsheets. This can cause delays and lost tickets, making it hard to measure how long issues take to resolve. Without clear tracking, businesses may miss targets or fail to spot bottlenecks, leading to dissatisfied customers and lost sales.
Step-by-step
- Define what counts as resolution time: Decide that resolution time starts when a customer support ticket or request is logged and ends when the issue is fully resolved and confirmed by the customer.
- Choose how to track support requests: Use a consistent system to log each support request with a timestamp. This could be a ticketing system, spreadsheet, or CRM with ticket features.
- Record the time each ticket is opened: Note the exact date and time when a support request is received.
- Record the time each ticket is resolved: Note the date and time when the issue is fully resolved and closed.
- Calculate resolution time for each ticket: Subtract the opened time from the resolved time to get the duration in hours or days.
- Calculate average resolution time: Add all resolution times together and divide by the total number of tickets resolved in the period.
- Review and report regularly: Track this average weekly or monthly to identify trends and improve your support process.
- Set targets and SLAs: Decide on acceptable resolution times for different issue types and monitor compliance.
- Check for outliers: Identify tickets with unusually long resolution times and investigate causes.
- Use the data to improve: Adjust staffing, training, or processes based on your findings.
For more on managing customer relationships and support, see HelloGrowthCRM for Singapore and how to use a customer health score.
Example (fictional figures)
A renovation contractor in Jurong receives 10 support tickets in March 2024. They log the opened and resolved times for each ticket as follows (dates in DD/MM/YYYY, times in hours):
| Ticket | Opened | Resolved | Resolution Time (hours) |
|---|---|---|---|
| 1 | 01/03/2024 09:00 | 01/03/2024 15:00 | 6 |
| 2 | 02/03/2024 10:00 | 03/03/2024 10:00 | 24 |
| 3 | 03/03/2024 11:00 | 03/03/2024 17:00 | 6 |
| 4 | 04/03/2024 09:00 | 05/03/2024 09:00 | 24 |
| 5 | 05/03/2024 14:00 | 06/03/2024 14:00 | 24 |
| 6 | 06/03/2024 09:00 | 06/03/2024 12:00 | 3 |
| 7 | 07/03/2024 10:00 | 07/03/2024 18:00 | 8 |
| 8 | 08/03/2024 09:00 | 09/03/2024 09:00 | 24 |
| 9 | 09/03/2024 13:00 | 09/03/2024 16:00 | 3 |
| 10 | 10/03/2024 08:00 | 10/03/2024 12:00 | 4 |
Total resolution time = 6 + 24 + 6 + 24 + 24 + 3 + 8 + 24 + 3 + 4 = 126 hours
Average resolution time = Total resolution time / Number of tickets
= 126 hours / 10
= 12.6 hours
This means on average, support tickets are resolved in about 12.6 hours.
Common mistakes
- Not logging timestamps accurately: Prevent by using a digital system that automatically records open and close times.
- Mixing different issue types without categorising: Prevent by tagging tickets by type or priority to measure resolution times fairly.
- Ignoring customer confirmation of resolution: Prevent by confirming with customers that issues are resolved before closing tickets.
- Using multiple disconnected tools: Prevent by centralising support requests in one system to avoid lost data and delays. See how a WhatsApp and SMS CRM can help.
- Failing to review data regularly: Prevent by scheduling weekly or monthly reviews to track trends and improve.
Doing this in HelloGrowthCRM
HelloGrowthCRM offers a customer portal with support tickets and a knowledge base that keeps service requests linked to the same customer record as the deal. This makes it easy to track resolution time from ticket creation to closure in one place. You can also manage referrals and build a reference library for faster issue resolution. Learn more about these features on the customer health score page.
Frequently asked questions
What is customer support resolution time? Customer support resolution time measures how long it takes to fully resolve a customer's issue from the moment it is reported. It helps businesses assess support efficiency.
Why is measuring resolution time important for small businesses in Singapore? It helps identify delays, improve customer satisfaction, and optimise support resources. Without measuring it, businesses risk losing customers due to slow responses.
How can I measure resolution time if I use WhatsApp for support? Track each support request as a ticket with timestamps manually or use a CRM like HelloGrowthCRM that integrates WhatsApp messages and support tickets for easier tracking.
What is a good resolution time target? Targets vary by industry and issue complexity. Small businesses often aim for resolution within 24 hours for simple issues, but this depends on customer expectations.
How can I improve resolution time? Use a centralised system to track tickets, prioritise urgent requests, train your team, and build a knowledge base to resolve common issues faster.
Can HelloGrowthCRM help with tracking resolution time? Yes, it keeps service requests on the same customer record as the deal, allowing easy tracking of ticket open and close times in one place.
Key takeaways
- Measure resolution time from ticket open to confirmed resolution.
- Use a consistent system to log timestamps accurately.
- Calculate average resolution time by dividing total time by tickets resolved.
- Categorise tickets by type to track fairly.
- Review data regularly to improve support processes.
- HelloGrowthCRM’s customer portal and tickets keep service requests linked for easy tracking.
Start measuring your customer support resolution time today to improve your service quality and customer satisfaction. To try a system that helps with this, Start on the Free Forever plan (200 leads, no credit card).
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The HelloGrowthCRM team publishes guides on CRM strategy, AI sales tools, and revenue operations for small business sales teams.