Run Feedback Collection on Thinkific — AI Agent
Already on Thinkific? Add an Arahi AI agent for Feedback Collection and save hours every week without writing code.
247 surveys sent · 3 detractors routed. Sample reply trigger:
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the trigger event and pull the contact's context
- 2Draft the message in your team's voice
- 3Cite each personalized line's source
- 4Queue for your review or auto-send by confidence
Get started in three steps
Connect Thinkific
Authorize Thinkific in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses Thinkific.
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Saw your 4/10 — what would have made it a 9?
ChatGPT flagged your NPS reply for follow-up. You said the onboarding video was hard to follow — that's on us, and I'd love 10 minutes to walk you through the parts that bit.
Personalized using LinkedIn activity from the last 30 days.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Marco11:42 AM
Approved the draft to alex@kibblecorp.com.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Send NPS surveys via @Thinkific 30 days post-launch, route detractors to Custome
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Yes. You can run feedback collection workflows in test mode using sample Thinkific data before activating on live records. This lets you verify every feedback collection rule works correctly with your Thinkific setup before processing real data.
All data exchanged between Thinkific and Arahi AI during feedback collection processing is encrypted in transit and at rest. We use OAuth tokens for Thinkific access, never store raw credentials, and maintain full audit logs of every feedback collection action.
Yes. You define exactly which Thinkific events start feedback collection workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so feedback collection actions only fire when your specific criteria are met in Thinkific.
Yes. You can create parallel feedback collection workflows that respond to different Thinkific events or conditions. For example, one feedback collection flow for new Thinkific records and another for updated ones — each with independent rules and actions.
The agent triggers surveys at the moment of peak feedback value — post-purchase, post-resolution, post-onboarding, or at thinkific-specific lifecycle milestones. Timing is calibrated for highest response rate, not arbitrary monthly blasts.
Yes. The agent reads open-text feedback, identifies themes, scores sentiment, and surfaces operational issues that need attention — turning unstructured feedback into prioritized improvement workstreams for your thinkific team.
When the AI hits an edge case during feedback collection processing in Thinkific, it escalates to your team with full context — the Thinkific record, what was attempted, and why it needs review. Your feedback collection pipeline never stalls or loses data.
The dashboard shows feedback collection-specific metrics for your Thinkific integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Thinkific-triggered feedback collection workflows perform over time.
No coding required. The no-code builder walks you through connecting Thinkific and configuring feedback collection rules visually. Your team can set up, modify, and manage Thinkific-based feedback collection workflows without any developer involvement.
Manual feedback collection in Thinkific requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling feedback collection tasks in real-time as Thinkific events occur — running 24/7 with consistent accuracy and zero fatigue.
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