Work Management Maturity Model for Enterprise Digital Teamwork
Enterprises have faced the challenge of their employees working remotely during lockdown, many without the tools and valuable insights to accurately track performance. Studies show that during this time employees are getting more done and working longer, but ultimately achieving less. With more time used searching for information and organising days, taking away from their tasks that make a difference.
As we head towards a COVID-normal, many businesses are planning to continue to adopt flexible working into the future. With dispersed working here to stay, enterprises need to ensure they select the right tools to optimise performance and increase visibility. Instead, many businesses are currently using a selection of video conferencing, messaging, content sharing and task management tools as a temporary solution. Positioning them at an early stage of the maturity model of a digital team, without considered strategy for going fully digital.
Enterprises that find they use tools more effectively to automate routine work are able to move up the maturity model and free up time to focus on valuable activities. As well as, gather data to gain insight into activities and discover the most successful teamwork patterns to support employees to collaborate more effectively.
Fusion Connects Workflow utilises one of the most established work management tools that has developed its own maturity model. The five-step model is focused on automating work processes, then moves to focus on automating analysis and interpretation of that data.
Here is the process outlined below.
1. Automating systems
Step one is automating the work management system itself, by auto provisioning users into the right teams and workflows to get started effectively. It also automates collecting and calculating data and can be used to validate timesheets and see how much time and budget is remaining to complete a project. Making it as seamless process to get key data in the system without manually updating records.
2. Automating workflow
Step two is automating processes that move work between people, systems or stages of the project. Such as automatically invoking a workflow template from the type of request to start a new project or task, organising associated content and data and notifying the right people. At this stage it can also integrate with multiple systems or applications for work to continue to flow without manual intervention.
3. Automating knowledge work
Once the first two elements of automation are underway, the third step is to begin to automate the work itself. This allows for machines to manage the predictable and repeatable elements of what a worker does. In a creative marketing organisation, this can mean automatically pre-populating data and content to start a task. Or in a development organisation it can automatically compile routine code for the developer. Ultimately this step results in freeing up time to spend on the most important parts of the job.
4. Automating insights
With the above elements in place, the next phase now has enough data to apply machine smarts to automatically provide key insights to decision makers. These insights can include notifying management when workloads are full, ensuring latest content created for a project is adhering to brand guidelines or cleverly identifying and prescribing more successful work patterns to enhance productivity.
5. Automating decisioning
The final step of the maturity model is to automate some decision making. An example of this is when an individual’s workload is full, Workflow can reassign the task to another with capacity.
This Workflow maturity model is far from the ad hoc digital teamwork which most companies have adopted from needing to temporarily abandon offices and set up shop from home. Enterprises that embark on a digital transformation with workflow automation can see the positive impact it can have across entire organisations. Gather significant amount of data to analyse and refine how teams perform to improve effectiveness of remote workforces.