Recent Trends in Project Management

Integrations:

The integration with apps and services on the cloud will continue to be a major part of project management in 2017. The difference is that integrations are now ESSENTIAL to success. Every modern management software must be capable of integrating into the ever-growing pool of popular tools used today. When choosing ANY software for your company, you must ask – does it have a simple and clear connection with your commonly used apps? Currently JIRA has the largest collection of integrations and add-ons, but other more modern tools are soon to catch up! Keep in mind that if you find a tool you love that does not integrate with a tool you need, they can always add integrations, so never be afraid to ask!

Remote:

It’s an incredible trend. Remote work is becoming more popular than the traditional office cubicle. Remote work allows more freedom and faster scaling for companies

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needing to save money. Working remotely also requires initiative, proactiveness, and a willingness to do what’s necessary from everyone on the team – without being asked. Enable your team to stay on the same page and collaborate efficiently with a project management tool like ClickUp. They’re designed for remote work and were even built for this need. Even the world’s leading software companies are making changes to accommodate this trend, including Slack who added Video Chat this year. Project management is no different. Almost every business in the world has at least one team working together to complete a project remotely.

 Machine learning:

This is a BIG one. For the most part, you’ll interact with the benefits of machine learning on sites like Google, Spotify, Amazon, and Netflix, but tons of new web apps are taking to the trend and project management is no exception. Projects are notorious for being late – a trend that must be stopped. The perfect task for machine learning! With a well-built algorithm, the app will create a model to decipher patterns and improve its own efficiency, becoming more accurate over time. This means that you’ll be able to better predict when a task is going to be done based on who is assigned and how big the task is. This is just one of the MANY benefits that machine learning will bring to project management. According to CapterraClickUp is leading the way in project management for machine learning, but other project management tools such as Forecast are realizing the revolutionary potential of this trend.

 Crowdsourcing

Project managers are beginning to utilize project management software to get the most out of their employees. Dedicating a space entirely for ideas has become essential. Enterprise organizations that don’t take advantage of their employee’s ideas and talent get left behind. This is becoming a hot trend in 2017 that is yielding great results! Certain niche companies are blooming out of this void. For example, Wazoku Idea Spotlight is a software-as-a-service (SaaS) platform dedicated to giving companies a central hub for ideas, innovation and feedback. Users include Microsoft, Aviva, Oxford University, and many more. These same companies are even gamifying the system so that employees get points and a % of the profits if an idea is successful! Let’s see this implemented in project management software!

Learn new stuff!

Read more on project management:

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How to Nail a Project

 

 

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How to Nail a Project

So many projects, so much mismanagement. That’s the refrain of many IT executives. Indeed, even with project management software, IT projects often wind up taking longer (much longer) than planned and costing more than budgeted.

While no two projects are exactly the same, the issues that can affect — and potentially jeopardize — them are often quite similar. And even good project managers can make mistakes when wrangling a big, complex project — or when being bombarded with change requests.

It’s important for the entire team to know roles and responsibilities and deliverables right from the start, says Shami Ahuja, director of agile practice at technology consulting

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firm Nsia. This is why it’s a good idea to hold a kickoff meeting with all stakeholders. Breaking large project into small, manageable pieces will make the team feel more comfortable and confident that they can successfully tackle what may seem like an impossible project and accomplish each task.  To avoid leaving your team feeling overwhelmed, take the time to understand each face of the project. Then break the project into small pieces, and break those small pieces into smaller pieces if you can.  And assign each task to the team members who are best suited to accomplish them.

Too many project managers get bogged down focusing on the scope, quality, cost and timeline associated with their projects and forget about the people who are actually doing the work, says Irfan Kapasi, managing director, strategic solutions and services, at IT staffing firm Computer Group. Failing to properly manage team members, or micromanaging them, can “lead to delays, impact quality and result in cost overruns.”

To avoid this problem, make sure everyone understands how and why their role is important to the success of the project and schedule time for periodic check-ins. This includes sponsors, team members, executives, suppliers and other stakeholders. This way you can make sure everyone shares the same vision for the project.

Manage your team!

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AI in Project Management

Project management AI is a system that can perform the day-to-day management and administration of projects without requiring human input. It will not only automate simple tasks, but will also develop an understanding of key project performance. Project management AI can then use this understanding to uncover insights, perform more complex tasks, make recommendations, and make decisions — sometimes in ways people just can’t do today.

Project management AI provides a level of service that rises above many of the bots available today. For example, a HipChat bot that lets you check on the status of a JIRA

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task quickly, while useful, is not considered project management AI. Similarly, an algorithm that applies machine learning to predict estimates for tasks, while interesting, isn’t AI either. It’s only when you start bringing bots and algorithms together that you start to realize the potential of project management AI.

Early project management AI will be a project assistant focused on a narrow area of managing a project or team. By focusing on supporting a team in one specific area rather than dealing with all the complexities involved in managing a project, project management AI will be useful to teams sooner rather than later.

Within these narrow areas, these early project management AI tools are giving us a glimpse of the future where AI automates tasks, provides insights, and even communicates with the team.

However, there are some challenges. These early, narrow project management AI tools rely on people to input data correctly, update tools in a timely manner, and make corrections. The limited capabilities also mean that humans are still a step ahead — for now. In order to provide even more value, project management AI needs to evolve.

AI is the future!

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