Capacity isn't a feeling. It's a model.

Stress-test delivery before you commit.

Simulate hiring, vacations, and reprioritization — and see how delivery shifts across parallel work and shared roles. Motionode recomputes the plan instantly and shows the bottleneck.

Project
Team Capacity
Backend ×2 Frontend ×1 QA ×0.6 Design ×1
Add Role
Ramp Time
2 weeks
Availability
Computed Delivery Date
Aug 3, 2026
−11 days from baseline IMPROVED
BOTTLENECK: Backend was: QA
Backend
Frontend
QA
Design
Net shift−11 days
Bottleneck changeQA → Backend
Requests affected3
Idle time removed24 hrs

Try it free

Paste your scope (PRD / RFP / SOW)

No email or real data required. Rough is fine, 150+ chars.

Load a demo scenario

No onboarding. Use ghost capacity if you don't want to add your real team.

A delivery model you can change and recompute instantly.

Motionode computes timelines from capacity + dependencies — then lets you run controlled "what-if" scenarios to see outcomes before you make promises.

SIMULATION MODES

"What if we add a QA?"

Add headcount, contractors, or part-time support. Motionode recomputes the plan and shows where time collapses — and where it doesn't (because the bottleneck is elsewhere).

  • Role-based capacity (QA / Backend / Design / Frontend)
  • Ramp time (new hire is slower at first)
  • Shows bottleneck shift (e.g., QA → Backend)
Try "Add member" scenario →
Delivery Date
Aug 14 → Aug 3
+ Add QA (Mon)
Role Lanes
Backend
Frontend
QA
Design
BOTTLENECK: QA
Scenario saved: +1 QA, ramp 2 weeks

"What if our senior backend is out for 10 days?"

Model PTO, sick time, reduced capacity weeks, and see how the ripple propagates through dependent work.

  • Time-off overlays on calendars
  • Reduced capacity mode (50% week)
  • Explicit impact chain (what got pushed)
Try "Time off" scenario →
Delivery Impact
Aug 3 → Aug 11
Affected requests: 2
Timeline + PTO Overlay
Backend
Frontend
QA
Design
Backend Lead PTO: Jul 10–Jul 21 · QA pushed +8 days (dependency)

"What if we move Request C to the top?"

Drag-and-drop reprioritization and instantly see who gets pushed, which roles get overloaded, and whether the new priority is actually feasible.

  • Drag reorder changes priority
  • Optional "don't interrupt in-progress steps" toggle
  • Shows winners/losers clearly
Try reprioritization →
Request Priority
🔒 Lock in-progress: ON
⠿A — Auth + SSOIn progress
⠿B — Payment Flow
⠿C — Admin Dashboard↑ MOVED UP
⠿D — Notifications
C ships 9 days sooner
A ships 6 days later
Bottleneck: QA intensified

Compare outcomes across scenarios.

BaselineAug 14
+1 QA−11 days
PTO week (Backend Lead)+8 days
Reprioritize C+6 days (A)
Before vs After Timeline
Auth
Payments
Admin
Reporting
Notifications
Baseline +1 QA scenario

All scenarios computed from the same dependency graph.

Plays nice with your current stack.

Run simulations standalone, then export the plan or share outcomes with your existing PM process.

CSV
JSON
Jira
Asana
Linear
GitHub
GitLab
BYO Key
BYO Key

Export results to CSV/JSON · Optional push to PM tools · No migration required.

Not a Gantt chart. A computed delivery engine.

Traditional plans break under parallel work + shared roles. Motionode computes schedules from constraints, then recomputes instantly when constraints change.

Text describes work. Simulation commits you to dates.

FAQ

Do I need to input my whole backlog?
No. Start with one project or one set of requests. You can expand later.
Do I need my team in the system?
No. Use ghost capacity to stress-test quickly.
How does it handle parallel work?
Requests can run in parallel; role lanes constrain throughput.
Can I prevent interruptions of in-progress work?
Yes — use "lock in-progress steps" in reprioritization.
Can I share a scenario with leadership or clients?
Yes — export the scenario summary or share the scenario view.

Stop guessing. Start simulating delivery.

Run a simulation for free — then share the scenario report with your team or stakeholders.

No onboarding required.