Comparisons
How TreeFlow compares
Written to help you decide, not to win. Each page includes the cases where the other tool is the better answer, because a comparison that never concedes anything is not worth reading.
Most tools used for Opportunity Solution Trees are general-purpose: whiteboards store shapes, document tools store text, roadmap tools store features. TreeFlow stores the tree itself. That is an advantage when the tree must stay accurate for months, and a disadvantage when you want a free-form canvas for a single workshop.
TreeFlow vs. Miro
Miro is an open canvas that can draw an Opportunity Solution Tree but does not understand one; every box is a shape you position yourself. TreeFlow models the tree as structured data, so outcomes, opportunities, solutions and experiments have real relationships, layout is automatic, and evidence attaches to nodes. Miro wins on workshops, TreeFlow on maintaining the tree afterwards.
TreeFlow vs. FigJam
FigJam is a fast, pleasant whiteboard that sits next to Figma, which makes it natural for design-led teams sketching an Opportunity Solution Tree. Like any whiteboard, it stores shapes rather than structure. TreeFlow stores the tree itself, so relationships, layout and evidence are handled by the tool instead of by whoever last tidied the board.
TreeFlow vs. Notion
Notion can hold discovery work in databases and documents, and many teams track opportunities in a Notion table. What it cannot do is show the tree. Hierarchy in Notion is expressed through relations and filters rather than a visual structure, so the spatial reasoning that makes an Opportunity Solution Tree useful is missing.
TreeFlow vs. Productboard
Productboard is built around collecting customer feedback and turning it into a prioritised roadmap. TreeFlow is built around the reasoning that comes before a roadmap: which outcome, which opportunities, which solutions, and what evidence supports each. They overlap at the edges but answer different questions.