12.4. Segment and Analyze Customer Survey Data by Template, Technician, and Client

Survey analytics help service leaders understand whether client satisfaction is improving, slipping, or concentrated around specific templates, teams, clients, or time periods. For an MSP, this is most useful when the data leads to concrete follow-up, such as coaching a technician, reviewing a recurring issue for GreenLeaf Dental Group, or changing a ticket-close process.

The Analytics tab provides tools to segment and analyze survey data.

1. Click the Analytics tab.
2. Customer Filters: Segment your data using filters such as Customer Segment, Survey Template, and Timeframe (e.g., "Last 30 days").
3. Adjust one filter at a time so you can see what changed. For example, compare the same Survey Template across different timeframes before changing the customer segment.
4. Review the Satisfaction Overview for your selection, and use Export CSV, Share Snapshot, or Email Digest to pass the view along. Some advanced segmentation views are still rolling out, so compare the filtered view with the Surveys Dashboard metrics — Invitations Sent, Responses Received, Response Rate, and Average Rating — for the full picture.
5. If a segment shows low ratings or a declining trend, open the related survey responses and tickets to understand the context before taking action.
6. Record any follow-up outside the analytics view according to your team's normal client or ticket workflow.

After filtering, the analytics view should show a narrower slice of survey performance that matches your selected segment, template, and timeframe. Use that focused view to answer a specific question, such as whether the last 30 days of ticket-close surveys for Harbor Clinic are improving after a process change.

Analytics are most useful when they are compared with the raw response history. The Responses tab lets you filter responses by Template, Technician, Client, and Date Range, and the Recent Responses table shows submitted feedback with the client, technician, rating, and associated Ticket number.

Operational tip: review survey analytics on a recurring schedule, not only after a complaint. A monthly review gives managers enough volume to spot patterns while the work is still recent enough for technicians to remember the client context.