9 business process modeling techniques compared

BPMN, UML, flowcharts, and data flow diagrams each serve different business process modeling needs. This guide compares nine techniques from Henry Gantt's original charts to modern Colored Petri Nets.

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Summary

  • Business process modeling captures every workflow step visually - You can spot redundant tasks, find bottlenecks where work piles up, and make sure efficient processes get repeated the same way even when new people join your team
  • BPMN remains the gold standard for process modeling - It was purpose-built for business workflows using standardized symbols (flow objects, connectors, swim lanes, artifacts), unlike other techniques that were adapted from software or data engineering
  • Nine techniques cover wildly different complexity levels - From basic flowcharts for simple sequences to Petri nets for parallel synchronization, each method fits a specific problem shape
  • Want to skip the diagram debate entirely? See how Tallyfy replaces static models with live workflows

Most people can describe what their business does in a couple of sentences. But describing it and actually knowing every step that makes it run? Completely different things.

To produce real outputs, your team completes dozens of interconnected tasks. Work gets handed from one person to the next, crossing departments, until - somehow - results appear. When you dig into the details, it’s staggering how many small steps hold the whole thing together.

Here’s the thing that frustrates me most: If you don’t know what your process actually looks like, throwing automation or AI agents at it just amplifies the chaos. That’s why business process modeling matters more now than it did five years ago.

So why bother modeling if your team already “knows what to do”?

  • You’ll find tasks that are flat-out redundant and kill them.
  • You’ll spot bottlenecks where work sits waiting because someone upstream dropped the ball.
  • You’ll build processes that survive staff turnover - no more tribal knowledge walking out the door.

Over the years, a bunch of modeling techniques have emerged. Let’s walk through your options honestly - including where each one falls short.

BPMN - the standard everyone references

BPMN uses a series of symbols - “standard objects” - to represent tasks and workflows. You could absolutely invent your own symbol system, but using standardized notation means external consultants and new hires can read your diagrams without a decoder ring.

Most process consultants treat BPMN like the gold standard. And honestly, they’re right. Most other modeling techniques were designed for software development or data analysis and then shoehorned into business process work. BPMN was built from the ground up specifically for capturing how businesses actually operate. One thing that keeps coming up when we talk to operations teams - financial services (17%) and professional services (10%) leading adoption - is that this standardization saves real time when bringing in new team members or outside help. BPMN symbols fall into four groups, and knowing them matters because the notation is consistent worldwide. Flow objects use circles for events, rounded rectangles for activities, and diamonds for gateways at decision points. Connecting objects rely on solid lines for task handoffs and dashed lines for messages flowing between participants. Swim lanes show who does what when a subprocess requires shared responsibility - the whole subprocess is the “pool” and each “lane” represents a person or department.

Business process swim lane diagram showing order fulfillment across customer, sales, contracts, legal, and fulfillment departments

  • Artifacts: Extra context that isn’t a sequence or message flow but helps explain what’s happening. Dotted lines point to the relevant flow object. Dashed outlines group related elements. Text annotations use a bracket notation.

BPMN diagram example showing issue discussion process with email notifications, calendar checks, and conference calls

Once you’ve modeled your processes, the real question becomes: now what? A diagram sitting in a shared drive doesn’t enforce anything. This is exactly why we built Tallyfy to turn process models into live, trackable workflows that actually run.

You probably don’t need UML’s fourteen diagram types

UML (Unified Modeling Language) diagrams are another option for process modeling. The language was created by Grady Booch, James Rumbaugh, and Ivar Jacobson, but people have adapted it for business processes too.

Here’s the problem. Turns out, there aren’t just a few UML diagram types. There are fourteen. Fourteen! That complexity alone limits UML’s usefulness for business teams because understanding the notation becomes a project in itself.

Most experts agree that BPMN is process-oriented while UML is object-oriented - and that distinction matters. BPMN asks “what happens next in this workflow?” UML asks “what objects interact in this system?” For modeling business processes, the first question is almost always more useful.

UML activity diagram showing SAP implementation project plan with swim lanes for different phases

BPMN evolved from UML in many ways. But while UML was designed for software engineers first, BPMN was designed for business people first. That said, some analysts still prefer UML - particularly when processes involve heavy system interactions.

Want to learn what each UML diagram type is actually for? We’ve got a full breakdown.

Starting with flowcharts before you need more

Even if BPMN and UML are new territory for you, you’ve probably seen a flowchart. You might be wondering how BPMN differs from a regular flowchart. The short answer: BPMN is an evolution of the flowchart, built to handle what flowcharts can’t.

The painful drawback of old-fashioned flowcharts? They’re sequential only. They can’t represent parallel activities happening simultaneously within a process. Because you can’t capture that level of detail, flowcharts work best for very simple, predictable workflows that don’t branch much.

CEQA process flowchart showing environmental review process with decision points and agency responsibilities

Flowcharts were used to capture processes long before BPMN existed, and BPMN’s basically the innovation that made flowcharts actually informative.

After watching hundreds of teams try this - particularly in manufacturing (8%) and healthcare (11%) - starting with simple flowcharts and gradually moving to BPMN tends to work better than throwing BPMN at teams cold. The learning curve is real.

If you’re mapping relatively straightforward business processes, a flowchart might be all you need. Check out our guide to process flowcharts for practical tips on when to use them.

Six more specialized techniques worth knowing

Yourdon’s data flow diagrams

Data flow diagrams go back to the 1970s. Their purpose is representing data flows rather than activities - which is both their strength and their limitation.

Business process analysts generally agree that Yourdon’s technique is dated. The big gap: it focuses on information movement rather than human action. Data flow diagrams don’t give you a clean way to include all the people involved in a process the way BPMN does.

But if your workflows are genuinely data-driven - think automated data pipelines or information routing - this notation might fit.

Yourdon technique process diagram showing hotel room booking system with guests, bank, and schedule components

Gantt charts

In the late nineteenth century, Henry Gantt’s charts were the go-to. And they’re still around - students preparing dissertations get asked for Gantt charts all the time to break work into time-bound subtasks.

Still useful? Sure. But in the BPM context, Gantt charts are a bit too simplistic for processes with dozens of branching subtasks and dependencies.

Gantt chart example showing 14 job tasks with timeline bars and dependencies across November to February

Where Yourdon’s notation focuses on data, Gantt charts are time-focused. That makes them great for projects with hard deadlines but weak for modeling ongoing operational processes. People in charge of different parts can see when they’re supposed to start and when each task should finish. Managers can check whether subprocesses are running on schedule. Simple.

PERT diagrams

Program Evaluation and Review Technique (PERT) diagrams break process flows into timelines by estimating three scenarios: shortest possible time, longest possible time, and most likely time for completing each step.

The value here is twofold. PERT diagrams show the critical path toward outcomes and help you set realistic timeframes. Not bad for a technique that old. That makes them especially useful for comparing different process approaches to figure out which one will actually be faster.

PERT diagram example showing critical path of 83 days with multiple parallel tasks and dependencies

Functional flow block diagrams

FFBDs have been around for decades and they still earn their keep. Their focus is the execution order of tasks arranged as a sequence of ordered blocks.

Functional flow diagram illustrating three-level spacecraft mission operations process

Each functional block can be broken down further in a separate diagram showing sub-tasks. Yes, this creates a lot of diagrams for a single process. But they’re easy to cross-reference against the top-level view.

Some teams prefer FFBDs because - despite requiring multiple diagrams - they’re surprisingly easy to follow even when the underlying process is messy.

IDEF - integrated definition for function modeling

Like functional flow block diagrams, parent activities spawn child diagrams in IDEF. For enterprise-level modeling, IDEF0 is the version you’d use.

It’s sophisticated. It’s also complex enough to be a proper barrier. There are 15 forms of IDEF, each addressing a different type of flow - functions, information, data, simulation design, process description, and more.

IDEF0 basic function box diagram showing control, input, output, and mechanism arrows

My honest take? Unless you’re in aerospace or defense - industries where IDEF originated - the complexity probably isn’t worth it. BPMN covers 90% of what IDEF does with a fraction of the learning curve.

Petri nets and colored Petri nets

You might need a dedicated course before you can use Petri nets effectively. Is that realistic for most teams? Probably not. But they’re worth mentioning because they solve something flowcharts can’t: mapping processes where multiple sub-processes must happen simultaneously or need synchronization.

A CPN (Colored Petri Net) consists of places, transitions, and arcs. The math behind them is genuinely complex, but someone well-versed in their use can deploy them to simulate and test processes before they go live.

Colored Petri net diagram showing hierarchical system components with blue and green nodes

Why static diagrams aren’t enough anymore

Here’s what I keep coming back to: Agent capabilities have outrun the process definitions they depend on.

To be fair, some handle edge cases better than others. All nine techniques above share one limitation - they produce static pictures. A BPMN diagram pinned to a wiki doesn’t track who’s doing what. A flowchart in Visio doesn’t send reminders when a step is overdue. None of them enforce the process they describe.

At Tallyfy, we’ve seen that the real value comes when processes aren’t just documented but enforced by software. Your team follows best practices consistently because the system won’t let them skip steps - not because they memorized a diagram.

That’s the difference between modeling a process and running one. If you’re still debating which diagramming technique to learn, maybe the better question is: do you need a diagram at all, or do you need a workflow that actually runs?

To get started, give our BPM software a try. And if you’re evaluating tools, here’s our breakdown of the top BPM tools.

About the Author

Amit is the CEO of Tallyfy. He is a workflow expert and specializes in process automation and the next generation of business process management in the post-flowchart age. He has decades of consulting experience in task and workflow automation, continuous improvement (all the flavors) and AI-driven workflows for small and large companies. Amit did a Computer Science degree at the University of Bath and moved from the UK to St. Louis, MO in 2014. He loves watching American robins and their nesting behaviors!

Follow Amit on his website, LinkedIn, Facebook, Reddit, X (Twitter) or YouTube.

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