Understanding how work happens at the last mile is hard. The work graph makes it simple.

Discover the world's work graph

The work graph is a new technology category that digitally represents a teams’ work patterns and scales to identify an enterprises’ global work patterns, to enable digital transformation and continuous improvements.

Discover the world's work graph

A work graph is a connected sequence of steps that teams execute to get work done. It is, in essence, a map of how teams execute digital work, and it lies at the intersection of people, work, and technology. Once discovered, the work graph enables teams to collaborate and work more effectively.

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Improve workplace applications, identify IT bottlenecks and apply data-driven decisions on technology investments.


Identify document-heavy tasks and processes. Create digitization programs faster as compared to manual approaches.


Enable teams of all sizes, spread geographically, to learn from each other and improve how they work together. Work graphs focus on the team and not the individual.


Gain last-mile visibility into end-users’ tasks while maintaining individual privacy and establish best practices for task performance.


Gain a full view of processes, down to the last mile. Holistically measure process performances and define custom KPIs for each process.


What is a work graph?

A work graph is a connected sequence of steps that teams execute to get work done. It is, in essence, a map of how teams execute digital work, and it lies at the intersection of people, work, and technology. Once discovered, the work graph enables teams to collaborate and work more effectively.

Latest on the work graph

Latest on the work graph

Work graph: The DNA of Digital Work

For far too long the human experience at work has been broken. Work is a product of three entities: (1) people using (2) technology to execute (3) tasks, processes, and activities. The least understood part of how work happens lies in the last mile of how teams interact with technology. However, existing digital transformation initiatives do not place value on the human experience. The work graph places the human (and by extension the team) at the center of how work happens. It is excavated by learning patterns of work from interactions between people and machines. In effect, it represents how teams experience work and forms the basis for any improvements to work.

See examples of how the work graph benefits users, teams, managers, CXOs, and customers

Users and Teams

Eliminate friction in a team’s daily work

Teams at a Fortune 500 FMCG company complained of the tediousness and boredom of having to pull data from multiple systems. The work graph highlighted, an average of over 150 context switches for each completed transaction leading to an increase in drag to the team. Using data from the work graph, the company restructured the process, aggregated data, and cut the drag by 25% from daily lives of users.

Find learning opportunities

A leading tax and audit consulting firm leveraged the work graph to detect the several different ways similar transactions were processed by the same team. The data highlighted a key lacuna - the team was often unsure of which steps to take and when. The work graph was able to identify the variations and enabled the team to generate a standardized document. This enabled learning opportunities, thus improving throughput by 20%.


Catalogue how work happens

A Fortune 500 pharmaceutical company analyzed work graphs across supply chain, customer service, and enabling functions in 15+ countries spanning 1000s of users. Using this data, they generated a baseline that cataloged 35,000 tasks, 900 processes, and 42,000 variants that accounted for how teams were getting work done.

Manage teams more effectively

During the pandemic, a Fortune 500 insurance company, gave managers data from the work graph to highlight the overlap in their teams’ daily work. By making minor adjustments to team overlap and quorum sizes, managers achieved a 15% increase in team throughput. Further results are highlighted here in this Harvard Business Review article.


Use data to make targeted tech investments

A COO at a F500 insurance company used the work graph of the entire sales organization to identify and narrow down a 5% drag on quarterly sales numbers. The drag emanated from key technology features missing in the tech stack causing significant slowdown in contract closures. Based on this discovery, the COO was able to make appropriate tech investments to secure the 5% drag.

Create a culture of data

A F500 financial services company gained significant advantages by leveraging the work graph for the past two years. Now it is elevating the work graph as a new data plane at the heart of all its work transformation initiatives including decisions on automation, training, learning and development, IT investments, among others.


Reduce turnaround times

Business leaders trying to identify how to improve CX used the work graph to map the customer journey. By identifying back-office processes that had the greatest impact on customer wait times, they were able to focus optimization efforts and reduce average handling times by 30% and improve first-call resolution.

Deliver smoother experiences

Customers of a leading insurance company were able to get claims settled faster through improvements made by the policy administration team to their processes. By leveraging the work graph, the team was able to identify how to minimize errors during processing, thereby improving the downstream experience.

Work graph levers

Organizations leverage multiple levers for their transformation goals from information that is derived from their work graph.

Learning opportunities


IT Enhancement



Work graphs are powering

Work graph privacy: Focus on a team, not the individual

Soroco sets the gold standards for work graph privacy

Always Opt-in

Programs that collect work graph data must not collect any information by default. Applications and URLs must be explicitly approved by a user to have information gathered

User Anonymized

Work graphs are meant to identify and represent a team’s work patterns and not any individual’s. No specific user should be identifiable within a work graph

Privacy Aware
Work graphs must not collect any PII before ingestion and users must be provided the option for setting PIIs granularly
GDPR Compliant

Work graph data must be stored on-premise or in a legal jurisdiction of the client’s choosing. Users must have the control over their data and the right to be forgotten



Work graph can be derived from a team as small as five people and as big as the entire enterprise. Larger the team, sharper the insights and benefits it delivers. The work graph helps figure out common patterns, where teams can optimize their work, which activities to spend time on or how teams can work differently and better.

For digital transformation initiatives, a work graph platform like Scout can help identify initial insights within 48 hours. A good work graph data set could be achieved with a team of 5 – 10 users in 4 weeks of discovery. However, we do recommend that larger data sets could provide all variations for analysis to achieve most optimal results.

Work graph reveals complex datasets which require a tool for interpretation, Soroco’s Work Insights is one such visualization product. These visualization tools help identify challenges or opportunities within the discovered work. Users and teams can then collaborate and drive improvements on various KPIs through multiple change levers.

Got more questions about the work graph? 

Work graph: The latest addition to the graph family

Graphs are all around us every day, from metro maps to social networks, helping us understand large and complex data easily. They help us identify relationships between entities, interpret information, and draw conclusions. The work graph helps us do the same for work.



The Endless Digital Workday: An HBR article on interpreting the work graph to manage remote teams more effectively
Read Article


Bayer discovers a 95% reduction in average handling times through process transformation with the work graph
Read Customer Story


Fortune 50 eCommerce company realizes a 5X increase in team capacity by leveraging using the work graph
Read Customer Story

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Interested in the tech behind the work graph?

Explore how engineers are leveraging data, machine learning, and complex algorithms like DNA sequencing to build the work graph at Soroco

Join the growing work graph community at Soroco