How can we help?
Find answers, get inspired, and make the most of LetRetro.
A good place to start
Explore the help you need, one topic at a time.
Getting started
New to LetRetro? Make your first retro a great one.
Using LetRetro
Retrospective formats, templates, board features, facilitation, voting, discussions, and action items.
Plans & billing
Available plans, subscriptions, payments, invoices, and billing questions.
Administration
Workspaces, teams, members, permissions, workspace settings, and account management.
Integrations & connections
Available integrations, connecting tools, troubleshooting connections, and relevant workflows.
Enterprise administration
Set up secure access for your organization.
Trending topics
A few things teams are looking for.
The quick answers
Frequently asked questions
You might be wondering. We’ve got you covered.
Yes. Facilitators can generate a secure Guest Link. Anyone with the link can join the live board, post sticky notes, and participate in dot voting without a formal signup. However, to receive action item assignments or access historical boards, an account is recommended.
LetRetro provides a 1-click 'Anonymous Mode'. When enabled, card authors are hidden from all participants (including facilitators and admins). You can also toggle 'Blur Mode' during the Think phase so teammates don't influence each other before everyone has posted their reflections.
When an action item is finalized, simply click the Jira or GitHub badge on the card. LetRetro automatically populates the issue summary, assigns the team member, attaches retro context, and syncs status updates back to your board.
The LetRetro MCP server allows AI agents (like Claude Desktop or custom agents) to securely read your team's retro trends, action item statuses, and recurring pain points. Your AI agent can answer questions like 'What recurring CI blockers did we encounter over the past 3 sprints?' using real data.
No. LetRetro has strict data isolation policies. Your retro cards, discussions, team notes, and AI summaries are never used to train public foundational AI models. All data is encrypted in transit and at rest.