STORIESONBOARD ALTERNATIVE
The map, without
the backlog bolted on.
A journey backbone, tasks underneath, release slices across it, and the research that justifies each decision on the same canvas. Not a second view of your issue tracker.
Free plan coming late 2026
Works in your browser
No account needed to view
Used by creative professionals at:
Artlist
Pixar
Nike
Red Bull
The North Face
Porsche
Start from a ready-made template
Pick a board to see what you can build, then let AI fill it in. Every template is a real, editable starting point on the same infinite canvas.
Design Planner
Plan a design project from brief to delivery, with references, tasks, and feedback side by side.
What is a user story map, and when do you need a different tool?
A user story map lays a product out the way a person actually uses it. Along the top runs the backbone, meaning the sequence of things someone does to get their job done. Beneath each backbone step hang the tasks and stories that make that step possible, ordered by importance. Horizontal lines slice across the whole map to mark releases, so a slice is a thin version of the entire journey rather than a complete version of one part. Jeff Patton's argument for the technique is that a flat backlog destroys sequence, and sequence is the thing you need in order to decide what to cut.
StoriesOnBoard is a good, specialised tool for exactly this, and its central design decision is integration. It syncs with Jira, Azure DevOps, Trello and others, so the map and the backlog stay in step and a card on the map is an issue in your tracker. For a team whose backlog is the operating system of the product organisation, that is genuinely the right answer, and if two-way sync with Jira is what you need then StoriesOnBoard remains the better fit. This page is not going to pretend otherwise.
The reason people look for an alternative is usually one of three. They do not have Jira, or do not want the map coupled to it, and the integration is overhead rather than value. Or the map keeps drifting into a backlog view, which is what happens when every card is an issue: conversations become about tickets rather than about the journey, which is precisely what story mapping exists to prevent. Or, most commonly, the map cannot hold the material that justifies it. The research, the session recordings, the analytics screenshot showing where people drop out, and the competitor teardown live somewhere else, so the map records decisions without their reasons.
Storyflow is an AI-native infinite canvas, which makes it the opposite trade. There is no tracker sync, and that is a real difference you should weigh. What you get instead is one surface where the journey, the slices, the research, the screenshots, the interview quotes, and the design reference all sit together. Describe the product and the AI lays out a backbone with candidate tasks under each step, then you do the real work of arguing about order and drawing the slice.
HOW IT WORKS
From a journey to a release slice you can defend.
No integration to configure. Open a canvas and describe what people do.
01
Open a canvas
Sign up in seconds. No download, no tracker connection to authorise. Your infinite canvas opens in the browser.
02
Describe the journey
Type what a user is trying to achieve, step by step. The AI lays out the backbone with candidate tasks under each step, so you begin by correcting a draft.
03
Order, then slice
Rank the tasks under each step by importance and draw the release line across the whole map. The argument about what falls below the line is the value of the exercise.
04
Attach the evidence
Pin the analytics, the interview quote, and the design reference to the step they concern, then share a view-only link with whoever needs to agree.
Backbone, tasks, slices, and the evidence.
Everything the map depends on, on the same canvas as the map.
AI lays out the backbone from a description
Start from a drawn journey
Describe what a user is trying to do and the AI produces the backbone with candidate tasks under each step. Correcting a proposed journey is faster than building one card at a time, and the corrections are the discussion worth having.
See the user story mapping board →
Release lines drawn across the whole journey
Slice thin, across everything
A release should be a working version of the whole journey, not a finished version of step two. Drawing the line across the map is what makes that visible and what makes the cut argument concrete.
Explore the sprint planning board →
Research pinned to the step it explains
Keep the why next to the what
The drop-off chart, the interview quote, the support ticket, and the competitor screenshot sit under the journey step they concern. A map with its evidence attached survives the question about why an item is ranked where it is.
See the UX research board →
Discovery and delivery on the same surface
One canvas from journey to design
Wireframes, flow diagrams, and personas live beside the map rather than in four other tools, so the person implementing a story can see what it was for.
Try the user flow mapping tool →Unlimited boards. No object cap.
Open a canvas, describe the journey, and let AI lay out the backbone. Storyflow is paid-only during early access, with plans from $7.99 a month billed annually, and a Free plan launches before the end of 2026.
Unlimited story maps on an infinite canvas
Basic AI usage to generate backbones and tasks from a description
Starter templates for journeys, personas, and sprint planning
Share view-only links with stakeholders, no account required
WHAT IS DIFFERENT
A different trade, stated plainly.
StoriesOnBoard couples the map to your tracker. Storyflow couples it to the research and design work instead. Which is better depends entirely on where your team's arguments happen.
No tracker sync, and that is a deliberate choice
What you give up by switching
No two-way Jira or Azure DevOps sync: Storyflow does not connect to your issue tracker. If a card on the map needs to be the same object as a ticket in Jira, StoriesOnBoard does that and this does not, and no amount of workflow will paper over the difference.
No backlog management: Estimation, sprint assignment, burndown, and workload views are jobs for a tracker and Storyflow does not attempt them. The map here is a thinking and alignment surface that hands off to whatever you already use.
What you gain instead: The map stops being a view of the backlog and goes back to being a picture of the user's journey, which is what makes the ordering conversation about value rather than about tickets.
Who this suits: Teams without Jira, teams doing discovery before anything is ticketed, agencies mapping a client's product, and teams who found that syncing the map turned it into a second backlog nobody enjoyed maintaining.
AI that reads the whole board as context
An AI that argues with the ordering
Generate the backbone and the tasks: Describe the product and the AI lays out the journey with candidate tasks beneath each step, which turns the first hour of a mapping workshop into ten minutes of correction.
Find the steps nobody mapped: Ask what happens when something fails, what a returning user does differently, or which step has no task under it. Error paths and second visits are the two things almost every map omits.
It proposes, you decide: Storyflow structures and suggests; what matters most to your users is a judgment that stays with the team who talks to them.
Re-prompt as the product changes: Add a step mid-project and ask the AI to build around what you have already placed. Cards you have ranked and sliced stay exactly where they are.
The map, the research, and the designs together
Stop keeping the reasoning in another tool
Analytics and recordings on the step they concern: A drop-off number attached to the step it happened at is an argument. The same number in a dashboard is a fact nobody connects to a decision.
Interview quotes at the point of use: Paste what a user actually said next to the task it justifies. Verbatim quotes settle prioritisation arguments faster than any framework.
Wireframes and flows on the same canvas: Designs sit beside the story they implement rather than in a separate file, so the person building it can see the journey the screen belongs to.
Workshops, remote or in a room
Map together, then send the link
Everyone on one canvas: Invite the team and build the map simultaneously rather than one person at a keyboard transcribing. Silent ranking rounds work well here and avoid the loudest voice setting the order.
View-only links for stakeholders: Send a link and anyone opens the full map in a browser with no account, which is what makes a slice decision reviewable by people who were not in the workshop.
Export for the document that needs one: Export the map as a high-quality image or PDF for a steering group or a client report, and keep working from the live board.
Explore templates for your project
Every template opens as a real, editable board on the infinite canvas. Pick the closest fit and make it your own.
Design Planner
Plan a design project from brief to delivery, with references, tasks, and feedback side by side.
HOW WE COMPARE
Storyflow vs StoriesOnBoard, Miro, and Jira.
StoriesOnBoard is a specialised story mapping tool with strong tracker sync, Miro is a general whiteboard with mapping templates, and Jira is the backlog itself. Here is the honest split.
Storyflow
Recommended
Backbone, tasks, and release slices
AI generates the journey from a description
Research, analytics, and designs on the same board
View-only links with no account required
Two-way sync with Jira and Azure DevOps
Estimation, sprints, and burndown
StoriesOnBoard
Backbone, tasks, and release slices
AI generates the journey from a description
Research, analytics, and designs on the same board
View-only links with no account required
Two-way sync with Jira and Azure DevOps
Estimation, sprints, and burndown
Miro
Backbone, tasks, and release slices
AI generates the journey from a description
Research, analytics, and designs on the same board
View-only links with no account required
Two-way sync with Jira and Azure DevOps
Estimation, sprints, and burndown
Jira
Backbone, tasks, and release slices
AI generates the journey from a description
Research, analytics, and designs on the same board
View-only links with no account required
Two-way sync with Jira and Azure DevOps
Estimation, sprints, and burndown
What creators are saying
Join early creators getting structured workspaces and AI that remembers their projects
“Storyflow has sped up my workflow by at least 3x, which means more flow state and more projects I can actually ship. It truly changed the way me and my team create.”
Reilin Joey
Director & YouTuber
“One prompt gets me a structured board. But the tactics are my favorite. I run my YouTube scripts through them and my intros and retention got better. It's amazing.”
Justkay
YouTuber & Freelance Filmmaker
“I used to juggle five apps to plan a project. Now I describe what I am making and get boards, lists, and a schedule. All in one place.”
George
@fernwehchronicles
Story mapping questions, answered.
What a map is for, when to switch tools, and what you lose by doing it.
A user story map arranges a product the way someone experiences it rather than the way a backlog lists it. The backbone across the top is the sequence of activities a user goes through to get their job done. Below each backbone step hang the tasks and stories that make that step work, ordered top to bottom by importance. Horizontal lines cut across the whole map to mark releases, so each slice is a working version of the entire journey rather than a finished version of one column. Jeff Patton introduced the technique against a specific problem: a flat prioritised list destroys sequence, and without sequence you cannot tell whether cutting an item leaves a usable product or a broken one.
Map the journey, not the backlog.
Open a canvas, describe what your users are trying to do, and let AI lay out the backbone. No download.