Slicemap vs StoriesOnBoard
StoriesOnBoard fits if
Your team plans on a story map and ships the work through Jira, Azure DevOps, GitHub or Trello, and you want AI to draft the map and the backlog for you.
Slicemap fits if
You build with a coding agent and want it to plan on the map and build from it: lay out the stories, take the next one, estimate it, check the criteria and record the minutes.
| StoriesOnBoard | Slicemap | |
|---|---|---|
| Map structure | Three levels: user goals, user steps, user stories. Releases as rows. | Steps of the user journey with chapters above them, stories under the steps, releases as rows, a backlog. |
| Acceptance criteria | When its AI collects acceptance criteria, it adds them as text at the end of the card description. | A checklist inside the story. The agent checks items off one by one. |
| AI in the product | Generates a whole story map or backlog from a product description. AI tokens come with each plan. | No built-in AI. Your own coding agent lays out the map and works from it; Slicemap never calls a model. |
| Connecting an agent | MCP server with browser sign-in (OAuth), where you pick the workspace. | MCP server by address with a personal key that opens one workspace. |
| What the agent does | Reads the map; creates and edits maps, cards, releases and personas. | Reads the map; takes the next story of the release, estimates it, moves it through stages, checks criteria, records minutes; creates steps, stories and releases. |
| Seeing what the agent changed | Activity feed labeled with the agent, with old and new values. | Each card shows who changed it last and when: a person or the agent. |
| Tracker integrations | Two-way sync with Jira, Azure DevOps, GitHub, Trello and Pivotal Tracker on the Standard plan. | None. The agent works from the map directly. |
| Sharing outside the team | Public and private read-only links (private from Standard); guests can view and comment. | A read-only link that opens without an account. |
| Price | No free plan, a 14-day trial without a card. Standard, the first plan with MCP: first user $26, every other $12 per user per month, billed annually. | Free during the beta, with no limits and no card. |
| Where data is hosted | Microsoft Azure; the region is not stated on their pages. | European Union (Lithuania). |
Checked on 14 Oct 2026 against StoriesOnBoard’s own pages: storiesonboard.com/features.html, storiesonboard.com/pricing.html, storiesonboard.com/security.html, docs.storiesonboard.com/en/articles/14625286-storiesonboard-model-context-protocol-mcp-server-overview, docs.storiesonboard.com/en/articles/14497894-how-to-add-storiesonboard-mcp-server-to-claude-desktop, docs.storiesonboard.com/en/articles/8344674-how-to-collect-acceptance-criteria-using-storiesonboard-ai, docs.storiesonboard.com/en/articles/8990003-create-your-story-map-with-ai-based-on-your-product-description, docs.storiesonboard.com/en/articles/15259318-may-2026, docs.storiesonboard.com/en/articles/15850798-july-2026, docs.storiesonboard.com/en/articles/608647-how-does-the-14-day-free-trial-work. Something changed? Tell us and we will fix it.
Key differences
Where the work happens. StoriesOnBoard is built for planning: AI drafts the map and the backlog, and the work goes to a tracker through two-way sync. In Slicemap the map is also where the work is tracked: your coding agent takes the next story of the release from it and reports progress back on it.
What “done” means. StoriesOnBoard’s AI writes acceptance criteria as text at the end of the card description. In Slicemap they are a checklist the agent ticks one by one as it verifies each item, and a story moves to a done stage only when every criterion is checked.
Time. Slicemap asks the agent to estimate each story in minutes before coding and to record the minutes it actually worked, and shows plan against actual per project. We did not find anything like it on StoriesOnBoard’s pages.
If you already use StoriesOnBoard
Keep it if your team plans there and ships through Jira or Azure DevOps. If you build alone or in a small team with a coding agent and no tracker, try Slicemap on one project: connect your agent and let it take the first story of your first release.
Other comparisons
A PLAN.md file
A plan in a Markdown file next to your code, or a product map your coding agent reads and updates itself? When each one fits.
Linear or GitHub Issues
A tracker connected to your agent over MCP, or a product map with the user’s journey and releases? When each one fits.
CardBoard
CardBoard and Slicemap both have an MCP server. How they differ in what the agent does with the map, and who each one fits.
VibeMapper
VibeMapper and Slicemap both make maps for people who build with coding agents. How they differ in planning, the agent loop and sharing.
Try it on your own project
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