Product Comparison
Taskstreamer vs
ProductPlan
Roadmaps you draw. Or roadmaps that draw themselves.
Self-updating roadmaps
VS
Visual roadmap software
Roadmaps you draw. Or roadmaps that draw themselves.
Self-updating roadmaps
Visual roadmap software
The key differences that matter for your planning workflow.
Where the differences really show up in your daily workflow.
You drag items onto the timeline where you think they should be. Dates reflect your estimate and your optimism. The tool does not know if the team can deliver. It shows what you tell it to show.
The calculation engine computes every date. Team capacity per sprint is an input. Dependencies are enforced. Priority drives sequence. Dates are calculated, not placed.
Leadership reprioritizes. You manually move items on the timeline and think through cascading effects yourself. If Feature A moves, does that push Feature B? You adjust by hand, hoping nothing got missed.
Drag a feature to a new priority. The roadmap recalculates in under a second. Every downstream date adjusts, every dependency is respected, capacity rebalances. You see the full impact instantly.
ProductPlan offers a Jira integration, but it is a sync between two separate systems. You configure mapping rules, then hope data stays aligned. Status updates lag, fields do not always map cleanly, someone monitors for drift.
A native Jira plugin. It reads your Jira data directly. No sync jobs, no mapping, no drift. The roadmap is your Jira data, sequenced by the calculation engine.
ProductPlan is famously easy. A beautiful roadmap in minutes, no documentation required. Optimized for a product manager who wants simplicity and speed over depth.
Taskstreamer asks for more upfront: team capacity, sprint cadence, which Jira projects or spaces feed the roadmap. Most teams are configured in well under an hour. In exchange the roadmap is calculated, not drawn.
Real scenarios to help you decide.
Every capability, side by side.
| Feature | ProductPlan | Taskstreamer |
|---|---|---|
| Roadmap planning | ||
| Visual timeline roadmaps | ||
| Automatic date calculation | ||
| Automatic dependency sequencing | ||
| Capacity-aware scheduling | ||
| Instant recalculation on changes | ||
| Drag-and-drop interface | ||
| Jira integration | ||
| Native Jira plugin | ||
| Jira sync available | N/A (native) | |
| Real-time Jira data | Via sync | |
| No sync drift issues | ||
| Jira Data Center support | Limited | |
| Dependencies and capacity | ||
| Dependency visualization | ||
| Dependencies enforced by engine | ||
| Team capacity tracking | ||
| Prevent team overallocation | ||
| Strategy layer | ||
| OKR / Objective tracking | Basic | |
| Strategy-to-execution linking | Tags only | |
| Real-time progress from Jira | ||
| Usability and sharing | ||
| Minimal learning curve | Some setup | |
| Shareable roadmap links | ||
| PowerPoint export | ||
| Multiple roadmap views | ||
| Pricing | ||
| Per user per month (annual billing) | $39+ (Basic) | €3 (Plugin) |
Move beyond manual timeline management. Start in under an hour. Most teams run the Planning 30-day journey: day 1 installed, day 7 the plan is alive, day 30 running on autopilot.
Add Taskstreamer to your Jira Cloud or Data Center instance.
Choose which Jira projects or spaces feed your roadmap.
Define team capacity per sprint. That is all the engine needs.
Watch the calculation engine produce your optimal sequence.
Connect Jira. Set capacity. See the roadmap your data actually supports.