Getting recommendations from Fern
Fern analyzes your support tickets and product changes to identify documentation gaps. Recommendations surface early, before patterns become obvious, so you can address issues before they pile up.
You'll need at least one support integration (Crisp, Intercom, or Zendesk) connected. Adding GitHub or Linear gives Fern visibility into product changes.
Accessing recommendations
Find recommendations in your dashboard in the Inbox on the Fern page.
Click any recommendation to see the evidence behind it specific tickets, commits, or releases that triggered the suggestion, plus Fern's proposed action.
How Fern identifies gaps
Fern monitors two signal types:
Support patterns
Fern analyzes tickets from your connected support tools looking for:
Recurring questions
Issues requiring multiple back-and-forth messages
High-priority or escalated topics
Failed search attempts
Product changes
Fern tracks commits, pull requests, and releases from GitHub or Linear to catch:
New features without documentation
Breaking changes affecting existing users
UI updates making screenshots outdated
Deprecations needing migration guides
Explore raw signals in detail on the Signals dashboard.
Prioritization
Fern assigns priority based on:
Volume - How many users are affected
Frequency - How often the issue appears
Recency - Whether it's new or ongoing
Impact - Whether it blocks users or is nice-to-have
When recommendations generate
On-demand scans: Trigger a scan anytime to analyze a specific lookback period (7 days, 31 days, etc.). Scans take 5-30 minutes and analyze up to ~3,000 tickets, prioritizing recent and relevant data.
Automatic daily monitoring: Once enabled, Fern runs daily scans in the background to catch emerging patterns without manual checks.
Acting on recommendations
From your Inbox, you can:
Assign to Fern - Creates a task for Fern to draft. You'll review before publishing.
Reject - Dismiss recommendations that don't apply. These will be used to train Fern.
Use the evidence panel to review the actual tickets or commits before deciding what to prioritize.
Check the evidence first it shows whether a recommendation is urgent or can wait.