Feedback Collection on Autopilot for LinkedIn Users
Arahi AI automates Feedback Collection across LinkedIn, cutting repetitive work so your team can focus on higher-value tasks.
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 LinkedIn
Authorize LinkedIn and Arahi AI syncs your lists, campaigns, and analytics data in minutes.
Build Campaign Automation
Create AI-driven workflows triggered by LinkedIn events — new subscribers, email opens, or campaign milestones.
Optimize & Measure
AI continuously optimizes your LinkedIn campaigns while tracking engagement, conversions, and ROI.
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 @LinkedIn 30 days post-launch, route detractors to Customer
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Most users connect LinkedIn and launch their first feedback collection automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure feedback collection-specific rules through a visual no-code builder.
Manual feedback collection in LinkedIn requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling feedback collection tasks in real-time as LinkedIn events occur — running 24/7 with consistent accuracy and zero fatigue.
All data exchanged between LinkedIn and Arahi AI during feedback collection processing is encrypted in transit and at rest. We use OAuth tokens for LinkedIn access, never store raw credentials, and maintain full audit logs of every feedback collection action.
No coding required. The no-code builder walks you through connecting LinkedIn and configuring feedback collection rules visually. Your team can set up, modify, and manage LinkedIn-based feedback collection workflows without any developer involvement.
The agent triggers surveys at the moment of peak feedback value — post-purchase, post-resolution, post-onboarding, or at linkedin-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 linkedin team.
Yes. You can create parallel feedback collection workflows that respond to different LinkedIn events or conditions. For example, one feedback collection flow for new LinkedIn records and another for updated ones — each with independent rules and actions.
Yes. You can run feedback collection workflows in test mode using sample LinkedIn data before activating on live records. This lets you verify every feedback collection rule works correctly with your LinkedIn setup before processing real data.
The feedback collection agent scales automatically as your LinkedIn activity grows. Whether you process 10 or 10,000 feedback collection tasks per day from LinkedIn, the AI handles the volume without slowdowns or additional configuration.
The dashboard shows feedback collection-specific metrics for your LinkedIn integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how LinkedIn-triggered feedback collection workflows perform over time.
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