It sometimes happens that an organization invests in implementing a resource management solution, but the results of this endeavor are far from satisfactory. One of the reasons for that is making mistakes when working with this kind of tools. 

What are these errors and how to get the most out of an RM solution? Read further to find the answers.    

The Most Common Errors Made by Resource Management Software Users

Inputting incorrect data 

Let’s start from the “technical side”, namely the data input. Garbage in, garbage out – this proverb illustrates one of the sources of problems that prevent companies from achieving desired results. Correct data input is particularly important for AI-driven tools – it’s the basis for proper data processing and interpretation. 

The most typical mistakes of the data input are as follows: 

  • Typos,
  • Capitalized letters,
  • Figures mixed with letters,
  • Improper signs,
  • Different date fields,
  • Blank fields, 
  • Incorrect spelling. 

They seem to be little things, but the tool can work improperly due to the data inconsistencies, and the outcome won’t be as good as expected.   

Considering work with the tool a formality

Despite the fact that a resource management solution can perform complex operations quickly and efficiently, it won’t work effectively enough if team members consider it just a formality. For example, if a user logs the hours spent for a certain task randomly instead of reflecting the actual progress, the data on teams’ progress won’t be completely accurate. As a result, a project/resource manager will draw irrelevant conclusions.      

Ignoring the necessity of an execution plan 

The project management process involves creating a variety of plans (a resource management plan, a risk management plan, an implementation plan, etc.). Compiling all of them for each project in the environment may seem time- and labor-consuming and therefore sometimes neglected. Instead, a company considers a cost management plan to be the most important. However, correct and efficient work of an RM solution is impossible without a project execution plan that will cover all necessary project-related information (the tasks to be completed, team members responsible for them, etc.). Without such a plan, it will be very difficult to input the right data into the system, and it won’t be able to transform it into actionable insights.  

Wrong task estimates and buffer management

A project team may use an incorrect approach to task estimates, namely, add a time buffer to each assignment and use strict task deadlines. As a result, the team members will procrastinate and start work on a task as close to the deadline as possible (Student syndrome) or expand their work to fill all the time allotted to completing a task (Parkinson’s law). So, if employees estimate their tasks in such a way, the project work won’t be productive, and even a smart resource management solution will hardly change the situation.       

Making no conclusions out of the data provided by the system

To make the right decisions, you need to analyze the project-related information about the past (teams’ performance, project outcomes), the present (the actual state of a project environment), and the future (phenomena that affect the final output). Implementing a resource management tool won’t change anything if the information it provides isn’t properly analyzed, interpreted, and no conclusions are made. Let’s consider several examples of such mistakes.  

Overlooking task priorities calculated by the system

When working in a complex multi-project environment, it’s extremely difficult to decide which of the tasks have the highest priority. Modern resource management solutions are capable of automatic prioritization of assignments across the whole project environment, which, of course, is a great help for a project and resource manager. If these priorities are neglected, and the order of completing tasks is based on a project manager’s or stakeholders’ assumptions, there’s a high risk of turning your project environment into chaos. 

Ignoring the data on resources’ performance 

Project managers who work in a multi-project environment often focus too much on projects’ progress, and pay insufficient attention to resources’ performance. However, when projects have shared resources, employees’ performance is an important indicator of the whole project environment’s “health”. Due to dependencies between projects, one single employee who doesn’t cope with their workload can become a source of problems for a project environment. What is more, the consequences of problems on the resource level will be reflected on the project level over time, and it can take a lot of effort to change the situation.

Read more: Tracking Performance: Switching from Project to Resource Level

Misinterpreting the information provided by the system

To make the right decisions that can transform the project and resource management process for the better, information provided by the tool (e.g., graphs showing resource utilization or workload, etc.) should be correctly interpreted. The system transforms the raw data into information and presents it in a certain way, but it’s up to a project/resource manager to make sense of it and draw the right conclusions.   

Now, let’s consider how project and resource managers can avoid these mistakes and get maximum out of an RM solution’s functionality.        

How to Make a Resource Management Solution Work to Your Advantage?

In this section, we’ll provide general recommendations and illustrate them with the examples of Epicflow, an AI-driven resource management solution designed for work in a multi-project environment. 

Prepare your data thoroughly 

Before the solution can transform your workflow for the better, you have to input all the necessary information. First of all, take the following steps to prepare the data. 

  1. Make sure that the data in documents is structured – it will make it easier for a tool to process it.
  2. Ensure data integrity: use templates or standards to make the data coherent across all projects.
  3. Create project history: upon project completion, register all related information in a single repository. 

Read more about preparing the data for work with AI-driven tools in the blog post: Garbage In, Garbage Out: How to Prepare Your Data for AI-Driven Project Management Tools 

Provide every project team member with enough instructions and support

Firstly, it’s very important for every single user to be aware of the purpose of implementing the resource management solution – what company’s pain points are going to be addressed, what processes are expected to be improved, and how the solution will transform team members’ everyday work. 

Secondly, they should be informed of their part of responsibility for the solution’s correct functioning (e.g., making the right task estimates, updating remaining and spent hours regularly so that they will reflect the actual progress). For example, Epicflow users should be aware that its approach implies no strict task deadlines, and the team members are expected to complete their tasks as soon as possible to eliminate negative consequences of Student syndrome and Parkinson’s law.

And finally, the users should be provided with overall support – onboarding, workshops, technical support, etc. 

Follow the system’s suggestions 

Working in a multi-project environment, a project/resource manager has to analyze myriads of data. First of all, this refers to deciding on task priorities and allocating resources to these tasks. When it comes to processing large amounts of information, it’s better not to ignore the options suggested by the system. It will save a project/resource manager’s time and effort and contribute to much better outcomes. 

Speaking about resource allocation in Epicflow, it analyzes each employee’s availability, capacity, and competence level to suggest the best possible resource allocation options. It’s extremely difficult to analyze all this data and come up with the right decisions when there are thousands of employees working on hundreds of projects. So, such assistance of an RM solution shouldn’t be neglected. 

Get maximum insights for informed decision-making   

Try out scenarios before implementing any changes to your project environment 

Making ad-hoc decisions and changes to the project environment is the direct road to failure, especially in the environment where projects are dependent on each other. Fortunately, modern resource management tools are capable of scenario analysis, i.e., predicting outcomes of these changes and decisions (e.g., how will the project setting change if you reallocate resources, move milestones, or add one more project?). So, before implementing any changes or making a decision under conditions of uncertainty, a project/resource manager can analyze these scenarios in real time and base their resolution on them.  

Draw the right conclusions from the resource performance analysis   

The analysis of resource performance will provide you with the following insights:

  • you will find out whether your team members are productive and cope with their workload or it’s unbalanced (some of them are overwhelmed and some are idle);
  • you will get an idea of your project environment heath based on employees’ performance;
  • you will be able to use this information for future estimates to know what output to expect of your team members.  

Let’s look at the example of Epicflow. Its Future Load Graph analyzes the data on employees’ involvement into active projects and builds a corresponding graph showing team members’ expected workload and output in the future. This information must be properly interpreted: the graph has a zero line, and if a resource (resource group) is expected to be overworked, the line indicating this resource/group will be placed above zero. It signalizes that there’s going to be a bottleneck, and a project/resource manager has to take corrective measures. Otherwise, an overloaded employee or a resource group will become a bottleneck for the workflow. If it’s under the line, an employee doesn’t work according to their capacity.

future load graph

Epicflow’s Historical Load Graph shows how employees’ workload changed over time in relation to their capacity. Upon correct interpretation, it can provide a project/resource manager with valuable insights, e.g., detect idleness (not working at one’s full capacity), which can significantly hamper the flow but is almost impossible to spot with the naked eye.    

Let the system automate processes

In addition to automatic prioritization and resource allocation mentioned above, a resource management solution can assist in reporting. Creating reports is an integral part of a project/resource manager’s work. According to the Wellingtone report on the State of Project Management, about a half of project managers spend one or more days on compiling project reports. Of course, this poses a great need for automating this process. When an RM solution works properly (the data in the system is correct and timely updated), project and resource managers can generate reports in the system instead of being busy with gathering all the necessary information and compiling them manually. As a result, they will have much more time for important and creative tasks, while the solution will automate a significant part of their work. 

Also, RM solutions provide opportunities for integration with other tools. For example, the integration with a human resource management system will provide real-time updates about resource availability so that a resource manager doesn’t have to apply for the HR department every time they need this data. 

Therefore, a resource management solution being combined with a project/resource management expertise can really transform the project and resource management processes for the better, and let an organization reach new heights.

If you want to learn more about Epicflow and how it can contribute to positive transformations in your company, don’t hesitate to contact our experts.