Check user feedback after a release
After shipping, use a sentiment pass on incoming FullStory notes to spot reactions that may deserve closer attention.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Sentiment Analysis
Tool to analyze text sentiment. Use when you need to classify text into positive, negative, or neutral sentiment.
Why this helps
Release feedback arrives alongside other work, and manual review can be delayed when the day fills up.
- Adds a sentiment label to release-related text sent to the webhook.
- Helps prioritize which reactions to read first.
- Keeps the workflow focused on review rather than automatic conclusions.
Setup
Build it in a few focused steps.
- 1Connect FullStory and Jigsawstack to Notis once through the portal.
- 2Create the automation in the portal or ask Notis in plain language to analyze release-related feedback summaries.
- 3In one instruction, ask for sentiment analysis of each arriving summary and a concise report for review.
- 4Choose an incoming webhook trigger and a channel for run reports.
- 5Test with one real release feedback summary.
Questions about this workflow
Can the automation tell whether a release caused a reaction?
It can classify the supplied text, but it cannot establish causation from sentiment alone.
Does this require a FullStory trigger?
No. A custom backend or another connected process sends relevant text to the Notis webhook.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link FullStory to Jigsawstack. A trigger fires from one place; an action lands in another.
FullStory triggers
Jigsawstack actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Webhook trigger
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Connect any two apps with Notis in the middle.
FullStory and Jigsawstack, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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