How can a team manage incoming requests more effectively?
Efficiency question :
A good way to manage requests received by a team is to group them in a structured tracking register. Each row represents a specific request and retains the information needed to process it.
This approach is particularly useful for technical support teams, development teams, or any team that regularly receives requests from employees or other users. Instead of keeping requests in separate emails or communications, they are grouped in one dataset and can be tracked through resolution.
Key considerations:
It is important to categorize and, above all, prioritize requests. The register can indicate who made the request, when it was received, who is responsible for handling it, and its priority level.
Requests can also be classified by type. Some are blockers that prevent a user from continuing their work, while others are secondary improvements or purely visual items.
This categorization allows the team to focus its efforts on the requests with the greatest impact rather than processing them only in the order they arrive.
Challenges:
The main challenge is defining priority criteria clearly enough that everyone understands and applies them consistently.
In Microsoft Excel, conditional formatting can be used to visually highlight blocking requests and distinguish them from lower-priority requests. This makes it much easier for the team to quickly identify items requiring intervention.
Technology:
Microsoft Excel is a simple and effective solution for creating a tracking register in table form. New requests can be added over time while maintaining a consistent structure that allows them to be filtered, sorted, and analyzed.
Conditional formatting can also visually distinguish different priority levels. By structuring the data properly from the outset, the accumulated information can later be used to produce statistics on request handling.
Developer's advice:
Do not view the register only as a list of requests to be processed. A well-structured database can also be used to measure process performance.
Keep the date received, priority, person responsible, initially estimated time, and resolution date. You can then measure how long different types of requests take to resolve, compare actual time with the initial estimate, and identify which categories of requests consume the most team capacity.
These statistics can eventually be presented in a dashboard to better understand workload and progressively improve request management.