← Back to compareScrumDo vs SwiftKanban

SwiftKanban masters flow metrics. ScrumDo keeps flow, evidence, economics, and agents on one record.

SwiftKanban (NimbleWork, formerly Digité) is one of the most serious Lean/Kanban tools out there: cumulative flow diagrams, lead-time and cycle-time scatterplots, Little’s Law and Monte Carlo forecasting, classes of service, advanced WIP, and Enterprise Services Planning. ScrumDo respects that pedigree and matches the core flow math — then keeps it attached to self-interpreted customer stories, cost-of-delay sequencing, and governed BYOA agents on the same card, instead of in a flow-analytics layer beside the work.

Empirical flow forecasting with Little’s Law and Monte Carlo replays beside the work itself

Choose SwiftKanban if you want:

  • Deep, mature Lean/Kanban flow analytics and board playback
  • Enterprise Services Planning (ESP) for demand and capability analysis
  • On-premise, private cloud, or SaaS deployment
  • A flow-metrics-first tool with a long Kanban Method lineage

Choose ScrumDo if you need:

  • Self-interpreted customer stories that survive into the work
  • Cost of delay tied to class-of-service sequencing on the same board
  • Governed BYOA agents that execute from an accepted card-spec
  • Flow forecasting, evidence, economics, and agents on one record

Best fit for ScrumDo

Use ScrumDo when the work needs more than SwiftKanban is built to hold.

Choose ScrumDo when you want SwiftKanban-grade flow forecasting but need it attached to customer evidence, cost-of-delay sequencing, and governed agents on the same card.

Typical breaking point

The signal starts to break when context, specs, and execution split apart.

SwiftKanban stays a flow-analytics tool when the deeper need is to keep the signal, the economics, and governed agent work on the same record as the flow data.

Migration mindset

Move only when the clearer system helps the work.

Do not give up strong flow metrics — expect them. Move when the forecast needs to live next to the evidence and economics that should drive the decision.

What SwiftKanban does well

  • Mature flow metrics: CFD, lead-time histogram, cycle-time scatterplots, throughput, flow efficiency, blocking analysis
  • Little’s Law and Monte Carlo delivery forecasting
  • Classes of service and advanced WIP limits (policies, swimlanes)
  • Card hierarchy and Portfolio Lane for scaled Kanban
  • Cost-of-delay and Enterprise Services Planning concepts
  • Flexible deployment (cloud, private cloud, on-premise) and a strong Kanban Method heritage

Where teams hit limits

  • Customer-signal sensemaking is not the core model — the board is flow-first, not evidence-first
  • No bring-your-own-agent execution from a governed card-spec
  • Forecasting and economics live in a flow-analytics tool rather than next to self-interpreted stories and outcomes
  • Full scope (ESP, Story Mapping) is sold as per-user add-ons on top of the Enterprise seat price
  • Outcome review is metrics-led rather than tied back to the original human signal

Flow math, plus the signal underneath it

ScrumDo matches the CFD, lead-time histogram, and Little’s Law forecast, but keeps the self-interpreted customer story that started the work attached to the same card, so the forecast and the why live together.

Economics that sequence the queue

Cost of delay and classes of service actively sequence the work on the board, with the economics next to the decision — not only as analytics to read after the fact.

Governed BYOA agents

The agents you already pay for execute from an accepted card-spec with propose/execute/verify roles and proof, on your compute, with $0 markup — a layer SwiftKanban does not offer.

One record, not a flow layer beside the work

Evidence, spec, flow, forecast, economics, and outcome ride on the same card, instead of strong flow analytics sitting alongside a thinner work object.

Comparison

QuestionSwiftKanbanScrumDo
Cumulative flow diagram + lead-time histogramStrongBuilt in (Team+)
Little’s Law / probabilistic forecastingYesBuilt in (Team+)
Classes of service and advanced WIPYesYes
Cost of delay sequencing the queueAvailableOn the board (Business)
Self-interpreted customer story evidenceLimitedSource-linked on the card
Governed bring-your-own-agent executionNoFrom an accepted spec
Forecast, evidence, and economics on one recordSeparate analytics layerSame card
Deployment flexibility (on-prem/private cloud)StrongCloud, with Enterprise options

Who should switch

  • Teams that already trust flow metrics but want the customer signal and economics attached to the same work.
  • Groups that want governed BYOA agents executing from the card alongside their flow forecasting.
  • Teams that want one record for evidence, flow, economics, and outcomes instead of a flow-analytics layer beside the board.

Who should not switch

  • Organizations whose primary need is the deepest possible Lean/Kanban analytics and Enterprise Services Planning, with no interest in evidence or agents.
  • Teams that specifically require on-premise deployment today as a hard constraint.

Migration angle

  • Start where the flow data is strong but the customer signal and economics behind the work are still detached.
  • Recreate boards with classes of service and WIP, then attach self-interpreted stories and cost-of-delay sequencing.
  • Move when forecasting should sit next to evidence and governed agents, not in a separate analytics view.

SwiftKanban proves how much flow metrics matter. ScrumDo keeps that flow math on the same card as the customer signal, the economics, and the agents doing the work.

ScrumDo turns stories into clear specs, gives humans and agents one place to work, keeps flow healthy, and leaves an outcome trail worth reviewing.