19 Best Process Analysis Tools & Techniques in 2026
Process analysis is the first step to process visualization, improvement and management, which is why process analysis has been gaining popularity, as Figure 1 shows.
Despite the increasing interest, only 15% of business processes are analyzed and managed properly as BPM statistics show. One reason behind such a low rate is the lack of expertise and toolset.
Therefore, this article will explain the top 18 process analysis tools under three categories:
What is process analysis?
Business process analysis evaluates the processes to identify the nature and the root cause of the inefficiencies. Process analysis can:
- Improve processes
- Automate redundant tasks and activities
- Ensure standardization and compliance.
Process analysis can be achieved through various diagrams, charts and software. These tools are explained below based on the category.
Process analysis software
Business process analysis software refers to technologies that can be applied to extract, discover and model process data for analysis purposes. These tools are also known as automated business process analysis methods.
Automated business process analysis techniques provide a more accurate, efficient, and objective approach to studying business processes compared to traditional manual methods.
Here are some top automated business process analysis platforms listed in alphabetical order within their tool category, with their average score and the total number of reviews on the major B2B user review platforms:
For more tools, please checkout these lists:
Process Intelligence
Process intelligence platforms can collect and analyze process data to deliver process performance insights.
1. Process mining
Process mining is an analytical discipline and technology to collect, analyze and model business process data recorded in IT systems. Process Mining utilizes event logs generated by enterprise systems to create a detailed process map of a process. It identifies the sequence of tasks, their dependencies, and variations, providing an objective view of the process based on factual data.
Learn more on process mining through:
2. Task mining
Task mining or task intelligence is the technology to capture user interactions on desktops, such as task executions on spreadsheets, screen recordings or keystrokes. It’s particularly useful for processes involving a lot of human interaction.
Explore task mining benefits and 3 differences between task mining and process mining.
3. Process modeling software
Process modeling software models processes and executes these models.
Discover what are the differences between process modeling software vs. process mining.
4. A digital twin of an organization
A digital twin of an organization (DTO) creates virtual models of the processes, services, or organizational structures to simulate scenarios.
Check out DTO use cases to find out 9 more DTO applications.
5. Process mapping
Process mapping illustrates process flow using symbols to provide insights into parties involved, interactions and each step taken.
6. Process-data transformation tools
Process‑data transformation tools automatically extract, clean, and structure operational data from multiple systems, preparing it for process mining and analysis. The tools enable users to consolidate ERP, CRM, and other system data into standardized, analysis-ready formats, reducing the time and effort needed for data preparation.
These tools are gaining importance as process mining becomes more widespread. Platforms like Konekti and Celonis ETL provide automated pipelines for monitoring, transformation, and analysis.
7. Business process management (BPM) software
Business process management (BPM) software automatically analyzes and manages processes and workflows.
Sponsored
Process Street is a prominent player in this field that allows users to map out their processes, identify inefficiencies, and implement corrective actions. Also, Process Street’s analytics and reporting features offer valuable insights, enabling informed decision-making for continuous process improvement and organizational success.
Learn more on BPM by reading:
Check out our data-driven list for BPM software.
8. Workflow analysis software
Workflow analysis software can automatically pinpoint inefficiencies and track performance KPIs. The software provides a chart to increase visibility and help locate the issues in the workflow.
Explore workflow management tools, such as:
Process analysis techniques
There are various techniques that can be applied to analyze process data. Some of these include:
9. Gap analysis
Gap analysis is a high-level technique that allows analysts to identify the difference between the process performance they target and what they achieve. Gap analysis can highlight redundancies, wasteful activities, lack of management and missing steps.
Gap analysis is a useful technique for process analysts that aim to reorient their process performance and reconnect with their goals.
10. Value-added analysis
This analysis is a broad sorting technique to assess whether each process step meets business or customer needs. Value-added analysis technique investigates all activities in a process flow and then label and sort steps to:
- Define business value-added steps
- Identify real value-added (RVA) steps
- Discover non-value-added (NVA) steps
To remove and modify when they do not meet customer or business needs.
11. Root cause analysis
This technique finds out the core reasons behind the detected problems by estimating probabilities for potential causes. Root cause analysis allows analysts to discover hidden deep issues and develop a remedy accordingly. The technique can investigate:
- Guides and instructions
- Equipment such as devices and tools
- Methods like requesting an order
- Employee activities
- Environment as onsite and offsite spaces.
Some process intelligence tools can automatically employ root cause analysis. Learn more on automated root cause analysis.
12. Observational analysis
This technique shows overlooked steps and absent activities in actual processes. Observational analysis can require:
- Collecting data from interviews, process maps and other documents to observe passively
- Participate in the process and monitor workflow actively.
Analysts can benefit from observational analysis to assess process accuracy.
13. Experience examination analysis
Experience examination requires observing and interviewing longtime employees to capture process knowledge. Experienced employees can help identify:
- Process inefficiencies and potential reasons behind them
- Well-functioning processes and happy paths
Analysts can review their process instructions and update their employee onboarding process based on the results.
14. Predictive analysis
Predictive analysis, also known as simulation analysis, is a technique to predict the impact of changes on process performance. Predictive analysis can help develop and prioritize process improvement strategies.
For example, analysts can:
- Identify areas that can benefit from automation the most
- Decide on change type, like standardization.
Predictive maintenance, predictive process monitoring and predictive process mining are some software that allows analysts to forecast their processes.
15. Impact analysis
Impact analysis is a value metric to assess the impact of interactions between processes, systems and applications.
Digital transformation demands that companies implement new systems and applications. Impact analysis can streamline deploying new tools and systems and decide when to change them by allowing firms to understand their dependencies.
16. Failure mode effects analysis (FMEA):
This technique is a step-by-step approach to locating potential design, process, or service failures. Failure mode effects analysis focuses on the consequences of failures to eliminate such errors in the long run.
Diagrams and charts
Diagrams and charts are broadly employed to visualize or model processes. Some of these visualization techniques can be utilized for process analysis.
17. Flowchart mapping
Process flowcharts map out simple processes as separate process steps in sequential order. The chart illustrates:
- Inputs and outputs, such as materials, end products and services
- People involved
- Decision points
- Time for each step
- Process performance KPIs.
18. Spaghetti diagram
The spaghetti diagram represents processes as a continuous flow of lines. Spaghetti diagrams are useful to trace the path of activities, tasks and resources.
These diagrams can help identify redundancies and opportunities in the given flow. Yet, they can be too complicated and useless for complex processes.
Discover two ways process mining can overcome complicated spaghetti diagrams:
19. Fishbone diagram
Fishbone diagrams show cause-and-effect relationships of an issue in the given process. They are combined with root cause analysis. Fishbone diagrams consider:
- Equipment, such as software and machinery used
- Onsite and offsite environment
- Process documents, policies, rules and procedures
- Employees.
By drilling down these factors, the diagram enables analysts to determine the main reasons behind the problem. For example, Figure 4 below shows potential issues for each aspect.
There are some overlapping technologies, solutions and techniques with other process management and process improvement tools. Check out to find out the differences, use cases and real-life examples:
FAQ
Further reading
Learn other process tools and methods used to discover, manage and improve process mining:
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Industry Analyst
Hazal Şimşek
Industry Analyst
Hazal is an industry analyst at AIMultiple, focusing on process mining and IT automation.
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