New ResearchCorpBenchSee the results ↗AI models tested on real business tasks.

Retention

On demand

Knowledge Gap Finder Agent

Find the answers customers lack.

Find repeated customer questions that your help centre does not answer well.

Take it into your workspace

Use Knowledge Gap Finder

Choose where you want to use this blueprint, then copy the prompt to get started.

Choose your agent platform

Use Revensi in ChatGPT

Connect once, then paste your prompt below.

Add to ChatGPT

Personalise with Revensi
Knowledge gap briefIllustrative demo

Find recurring confusion about export date boundaries.

  1. Read Zendesk cluster · 7–20 Oct

What it does

Turn repeat questions into better answers.

Find repeated customer questions that your help centre does not answer well. Built for support operations and documentation owners.

  1. Find recurring questions

    Choose recent support conversations and your existing help articles. Failed help searches and repeated support replies can reveal missing guidance.

  2. Check existing coverage

    Group recurring questions and identify missing or unclear guidance.

  3. Prepare article briefs

    Get a prioritised list of articles to create or improve, with suggested outlines.

How it works

Find repeated customer questions that your help centre does not answer well. Built for support operations and documentation owners.

Agent architectureTools · knowledge · outputs · oversight
Approved documents and context
Help-centre taxonomy and editorial ownership Case deduplication rules Published product facts and unresolved policy decisions Optional: aggregated help-centre searches with no useful result and article feedback, to identify questions readers cannot answer. Optional: repeated support replies and recent product changes, to find guidance that exists only in conversations or has become outdated.
Prioritise gaps behind repeated questions
Rank article needs by how often questions recur and how well current content covers them, giving the team a clearer backlog.
Spend less time scoping each article
Start from suggested sections and examples so writers can work towards closing the identified gap.
Zendesk · Read question clusters (read)
Retrieve independent cases and their actual questions.
Confluence · Read published help content (read)
Compare coverage and version currency.
Jira · Draft documentation backlog item (draft)
Prepare an evidence-linked outline for editorial review.
Human review and permissions
Documentation owner validates classification; product owner approves missing factual answers.
  1. 01Gather the context

    Bring together the relevant information from Zendesk, Confluence, Jira.

  2. 02Check what matters

    Group recurring questions and identify missing or unclear guidance.

  3. 03Prepare the result

    Distinct demand, existing coverage, missing facts and assigned owner. Proposed sections and source facts still requiring validation.

  4. 04Review proposed changes

    Documentation owner validates classification; product owner approves missing factual answers.

Integrations

Customer support

Examples:
  • Zendesk
  • Intercom

Knowledge

Examples:
  • Confluence
  • Notion

Projects & tasks

Examples:
  • Jira
  • Asana
  • ClickUp

Choose the platforms your team already uses—you don’t need every example shown. Confirm the required features and configure access during implementation.

What you get

Focus help-content work on the questions customers keep asking and existing articles do not answer well.

Prioritise gaps behind repeated questions
Rank article needs by how often questions recur and how well current content covers them, giving the team a clearer backlog.
Spend less time scoping each article
Start from suggested sections and examples so writers can work towards closing the identified gap.

More for retention teams

Start with a blueprint. Build it around your business.

We’ll adapt it to your workflows, connect your systems and build an agent your team can put to work.

30 minutes. One bottleneck. Leave with a clear system concept.