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Steps

Take an article name, link, or ID as input
Fetch and read the help center article
Search for related support tickets in the past 3 months
Read our tone of voice documentation
Generate specific edit suggestions
Flag only the important changes, and feel comfortable to say nothing needs to change. You will format your report as a table with columns for: section to update, specific issue found, suggested change, and supporting ticket examples.

Result

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What it is

The Help Center Article Reviewer workflow analyzes your support tickets to identify what's missing, outdated, or unclear in your help center articles. It pulls recent customer questions, compares them to your existing documentation, and generates specific suggestions for updates—all while maintaining your brand's tone of voice.

What it solves

Your help center gets stale the moment you publish it. Products evolve, customers find new pain points, and support teams answer the same questions over and over because the docs don't actually address what people need. Meanwhile, no one has time to manually review tickets, spot patterns, and update articles.

This workflow stops the drift. It catches gaps before they turn into ticket floods, keeps your documentation aligned with real customer needs, and ensures your help center actually reduces support volume instead of collecting dust.

How it works

Super fetches the help center article you want to review, then searches your Intercom tickets for related customer questions and issues. It identifies patterns—maybe ten people asked about the same edge case, or customers consistently misunderstand a specific feature.

It also pulls your tone of voice guidelines to ensure suggested edits match your brand. Then it generates specific, actionable edit suggestions: add this missing step, clarify this confusing section, update this outdated information. Each suggestion is tied to actual ticket data, so you know exactly why it matters.

How to use it

Run the workflow on any help center article that's generating support tickets. Drop in the article URL or ID, and Super handles the analysis. Review the suggestions, make the edits that make sense, and publish the updates.

Set it up on a regular schedule for your most-viewed articles, or trigger it whenever ticket volume spikes on specific topics. Stop guessing what needs updating—let your support tickets tell you exactly where your help center is falling short.