Attach live customer feedback to every ticket, user, and organization in Zendesk
Responsly writes every support survey answer onto the Zendesk record it belongs to — ticket, user, or organization. Post-resolution CSAT lands on the original ticket. Quarterly NPS updates the user profile. Account-level feedback rolls up to the organization. Agents see the full sentiment context before they reply, and Zendesk triggers react to scores without anybody manually reviewing a dashboard.
Zendesk captures everything that happens inside a support interaction: tickets, tags, conversations, resolution times. What it doesn’t capture on its own is what the customer actually thought about the interaction — beyond a simple good/bad click. The Responsly integration adds that qualitative layer directly onto the records agents and managers already work with.
Why feedback belongs inside Zendesk, not a separate dashboard
Support teams that run CSAT in an external tool usually struggle with two problems: the data is disconnected from the ticket, and the signal is too thin to act on. When the score is just “good” or “bad” with no follow-up question, there’s nowhere to go with it.
When richer survey responses live on Zendesk records:
- Agents see feedback history before replying. A customer who rated the last three tickets poorly gets handled with different care than one who rated them perfectly.
- Triggers react to sentiment automatically. A CSAT of 1 re-opens the ticket, assigns a senior agent, and notifies a team lead — all without a human noticing.
- Reports combine support metrics with satisfaction. Average handle time is useful; average handle time on tickets with CSAT of 1–2 is actionable. Zendesk’s reporting surfaces both when survey fields live on tickets.
- Organization-level rollups reveal at-risk accounts. NPS aggregated at the organization record tells account managers which customers to call before the renewal conversation.
Connecting Responsly to Zendesk
The integration uses Zendesk’s OAuth flow. Setup takes a few minutes and does not require a developer.
- Authorize Zendesk from Responsly. OAuth grants access with the permissions of the connecting user and can be revoked any time from Admin Center.
- Choose the target record type. Each survey maps to tickets, users, or organizations depending on what you’re measuring. Post-resolution surveys map to tickets; NPS surveys usually map to users.
- Map survey questions to Zendesk fields. Drag each question to a standard or custom field. Numeric scores land on number fields, categorical answers on dropdowns or tags, and open-ended feedback on text fields.
- Pass identity through the survey URL. When triggering surveys from a Zendesk automation, include the ticket or user ID as a hidden parameter. Responsly uses it to update the correct record without guesswork.
- Configure triggers and automations in Zendesk. Create triggers that react to the new survey fields — re-open on low CSAT, notify a manager when an NPS detractor appears, tag tickets with “recovery” when feedback warrants it.
Survey patterns that change how support operates
Post-resolution CSAT that actually drives recovery
The most common setup: every solved ticket triggers a short survey. Ratings of 4–5 thank the customer and invite them to leave a review. Ratings of 1–3 re-open the ticket, assign a senior agent, and notify the team lead. Recovery rates on formerly unhappy tickets often double in the first quarter because response is automatic instead of dependent on a weekly review.
NPS surveys on user records for lifecycle segmentation
Quarterly NPS surveys write scores to user fields. Zendesk views filter users by score, and account managers get lists of detractors and passives to contact proactively. The same field feeds reports that break NPS down by plan tier, product area, or region — insights that static NPS dashboards rarely support.
Customer Effort Score after chat resolutions
Chat sessions end with a one-question CES: “How easy was it to solve your issue today?” Scores sync to the chat ticket and to the user profile. Low scores flag friction points: if the “easy” rating drops on tickets tagged with a specific product area, product managers know where to invest next without reading 500 chat transcripts.
Agent-level quality surveys
Surveys sent after every ticket ask specifically about the agent’s helpfulness and clarity. Responses roll up to agent-level reports, giving team leads coaching material grounded in customer feedback instead of anecdotes. It also protects agents from the handful of tickets where the customer was unhappy with the outcome rather than the service.
Onboarding milestone surveys
New customers answer a short survey two weeks after account creation. Answers sync to the organization record. Enterprise CSMs see a consolidated “health score” for each account built partly from these responses, and renewal conversations stop being driven by product usage alone.
Using Zendesk reports with survey fields
Once mapped, survey fields behave like native Zendesk fields and appear in:
- Explore reports for CSAT trends, NPS distribution, score by agent, score by product area,
- Views filtered by score so agents pick up recovery tickets first,
- Dashboards that combine support volume, handle time, and satisfaction in one panel,
- Custom metrics like “average CSAT on tickets solved in under 24 hours.”
Because the data is native, managers don’t need a separate BI tool to answer most satisfaction questions — which in practice means they actually answer them.
Practices for Zendesk-driven feedback programs
Keep raw scores and categories on separate fields. Store the numeric CSAT on a number field for Explore math, and compute a category (promoter / passive / detractor or happy / neutral / unhappy) on a dropdown for triggers and views. Both are useful for different purposes.
Set a cool-down between surveys. If a user has been surveyed in the last 14 days, skip the next trigger. Survey fatigue is the fastest way to destroy response rates. A simple Zendesk condition on “last surveyed” handles this cleanly.
Close the loop visibly. When a recovery action resolves a detractor’s issue, send a follow-up message thanking them and explaining what changed. Customers who see their feedback taken seriously become advocates more often than they become churners. See our voice of customer guide for more on loop-closing tactics.
Tag recovery tickets. A tag like csat-recovery on tickets that came back because of a low score lets you report on recovery volume, time-to-resolution for recovery tickets, and the eventual CSAT improvement after recovery.
Pair with Slack for real-time awareness. Zendesk handles workflow. Slack handles the human-level awareness — a low score landing in #support-saves gets noticed even if triggers aren’t perfectly tuned yet.
What data syncs to Zendesk
Each submission can update the target record with:
- numeric CSAT, CES, or NPS scores on number or decimal fields,
- computed categories (promoter / passive / detractor, or satisfied / neutral / unhappy) on dropdowns,
- open-ended feedback on long text fields,
- reasons and tags on multi-select fields,
- a link back to the full Responsly response for the verbatim context.
All updates happen in real time, and triggers, automations, and views react on the next evaluation cycle — typically within seconds.
Close every support loop with customer feedback
Connect Responsly to Zendesk and put satisfaction data where the work already happens. Every agent sees the right context, every low score triggers the right action, and every report combines support metrics with actual customer sentiment — the service experience that earns renewals instead of survives them.
