Use Intercom reporting to get a holistic view of customer satisfaction (CSAT) across all support channels, teammates, AI agents, and chatbots.
Create a Surveyed CSAT report
Note: The Surveyed CSAT report template is available to all teammates with access to Intercom Reporting. Creating custom CSAT charts or using Conversation Rating attributes in a custom report requires the Advanced or Expert plan.
Go to Reports.
Click New report.
Select the Surveyed CSAT template. The report opens immediately with pre-built charts ready to use.
You can also use a range of conversation ratings metrics and attributes to create your own custom report on the Advanced or Expert plan.
Use the Surveyed CSAT report template to see
Overall CSAT score
Teammate CSAT score
Fin AI Agent CSAT score
CSAT score over time
Conversation ratings and remarks
All remarks
Amazing remarks
Great remarks
Ok remarks
Bad remarks
Terrible remarks
Conversation ratings
CSAT survey
CSAT request rate
CSAT response rate
CSAT survey request & response rates - by time
Conversations with a rating request
Conversations with a rating
Topics driving dissatisfaction
Teammate CSAT performance
The screenshot below shows the default layout of the Surveyed CSAT report template:
Understand chart data
Hover over the information icon at the top of a chart to see reporting period, report level filters, metrics, and metric level filters applied to each chart.
Learn more about conversation ratings metrics.
Customize the Surveyed CSAT report template
The CSAT report template is fully customizable, enabling you to add more charts from the chart library, or remove charts you don't need in this report. All charts can be resized and moved around to where you want them.
CSAT report use cases
Each section below describes a specific use case, which chart to focus on in the Surveyed CSAT report, and how to act on the data it surfaces.
Benchmarking overall customer satisfaction
Use the Overall CSAT score as a baseline metric to measure overall customer sentiment. Compare it against industry benchmarks, past performance, or internal goals. This tells you if your support meets general customer expectations and can help identify the need for broad strategic improvements.
Identifying individual performance strengths and weaknesses
Analyze the Teammate CSAT score to reward high-performing teammates and coach those with lower scores. This fosters better team morale and targeted skill development, directly improving customer interactions.
Evaluating the effectiveness of your AI agents (Fin)
Analyze the Fin AI Agent CSAT score to see how it compares to teammate CSAT. If the score is significantly lower than human teammates, you'll need to work on refining Fin to better address customer needs. This could involve addressing content gaps to help Fin resolve more queries, or expanding its capabilities such as setting up data & actions for personalized answers.
Monitoring trends and identifying the impact of operational changes
Analyze the CSAT score over time for spikes or dips to correlate changes (e.g., new policies, product launches, or staffing adjustments) with customer sentiment. Use this to identify successful initiatives or areas needing attention.
Comprehensive sentiment analysis
Aggregate remarks provide a high-level view of customer sentiment, helping to spot recurring themes or sentiments that influence satisfaction.
The chart below shows all CSAT survey remarks broken down by rating type:
Amazing remarks
Analyze Amazing remarks from your Surveyed CSAT report to identify what customers love about your support. Share these interactions as examples in training sessions, and use them in marketing materials to showcase customer satisfaction.
Great remarks
Great remarks are positive CSAT survey comments that fall just short of 'Amazing.' Review them to see what contributes to positive but not 'Amazing' feedback, then fine-tune those areas to turn 'Great' into 'Amazing.'
Ok remarks
Ok remarks in your CSAT survey results indicate that customers' expectations were met but not exceeded. Analyze them to identify areas where small tweaks could lead to higher satisfaction scores.
Bad remarks
Bad remarks are negative CSAT survey comments that signal clear failures in processes, product, or communication. Deep-dive into these interactions and address the issues promptly to prevent future dissatisfaction.
Terrible remarks
Terrible remarks are the most critical negative CSAT survey comments. Investigate them immediately to determine whether they point to systemic issues or isolated incidents, and use these cases as an impetus for larger changes if necessary.
Note: The "Neutral & Negative remarks" chart includes a "Conversation rating remark has any value" filter by default, so it only counts ratings where the customer left a written comment. A rating with no comment won't appear here even though it shows up in the detailed ratings table below. Remove the filter (or check "no remark" ratings) to see the full picture.
Measuring satisfaction at the conversation level
Use the Conversation ratings chart to understand which conversations are driving satisfaction or dissatisfaction. You can filter the table by "Conversation rating" to see conversations with negative CSAT and focus on these first.
Measuring the effectiveness of survey distribution
Look at the CSAT request rate chart to ensure surveys are being sent at the right time and to the right audiences. Adjust request strategies if rates are low, aligning with business goals of data collection.
To see absolute counts of surveys sent and responded to — rather than percentages — add the Conversations with a rating request and Conversations with a rating metrics to a custom report using the Conversation Rating dataset. These are available on the Advanced or Expert plan via Reports > New report.
Ensuring representative feedback
Monitor the CSAT response rate chart and if response rates are low, assess the timing, format, or incentives of your surveys. High response rates ensure you capture a broader and more accurate view of customer sentiment.
Note: Why can't I filter CSAT Response Rate by "Agent rated type"? CSAT Response Rate compares conversations that received a rating response against all new conversations. "Agent rated type" (teammate, Fin AI Agent, chatbot) only exists on rated conversations — it isn't available on the full set of new conversations that make up the rate's base count. To see response behavior for a specific agent type, filter by "Teammate replied to" or "Teammate assigned is" instead.
The screenshot below shows the CSAT Response Rate KPI chart from the Surveyed CSAT report:
Analyze when customers are most likely to respond to surveys using the CSAT survey request & response rates - by time chart. Adjust survey requests to align with peak response times, improving data collection efficiency.
Targeted process improvement
Use the Topics driving dissatisfaction chart to identify recurring themes in dissatisfaction (e.g., product bugs) and prioritize these for resolution. This directly addresses root causes of customer frustration.
Driving accountability and training
Compare Teammate CSAT performance to identify top performers for recognition and lower performers for targeted training. Use this to foster a culture of continuous improvement and accountability.
Useful CSAT report filters
Take a deeper dive into your CSAT report by adding filters at the top of the screen to specify a date range, channel, teammate/team, or filter by a specific data attribute.
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