Why It’s Important to Have Weekly Meetings

Written by Manish Bhardia



November 19, 2021

Why-Its-Important-to-Have-Weekly-Meetings

Let’s look at a simple way to manage complex or multiple projects without dropping the ball.

Why we need a weekly recap

You really don’t need weekly recaps if your projects are always on time, on budget and within scope. However it is extremely rare to have the perfect requirements, perfect team and perfect execution from day one.

Gone are the days when a team would have more time and resources available than budgeted. Without weekly meetings to keep everyone informed and on track, and with people are more distracted than ever, it is easy to fall into tasks slipping, scope increase, time delays and ultimately cost overage.

A Gartner survey suggested more than 50% of projects fail. With so much at risk for execution we need an effective and consistent way to handle project updates and accountability.

How to run weekly review meetings

The important thing here is to ensure that all team members are making their assigned updates to different systems in their own time. It’s important for the entire team to follow a consistent system of documentation, communication and file storage, and be able to provide a succinct update to the rest of the team at the weekly meeting. Any action items and questions need to be prepared in advance and ready to share.

Below is the simple outline of how a smoothly run meeting should go:

  • 0-5 minutes: Status Update – Highlight critical updates, tasks completed
  • 5-15 minutes: Review decision register, open items, address issues
  • 15-20 minutes: Review project plan for past week and upcoming week
  • 20-29 minutes: confirm next actions and assignments

The key idea of meetings is to discuss possible solutions, decide action items, and make decisions in the meeting rather than trying to review status or start working on any action item. Work needs to be done outside of the meeting, decisions are the primary function of the meeting.

Get more productivity tips and information from the book Teamwork and Collaboration: How to select and use right productivity environment for you and your team.

Related post: The Case for Having Really Long Meetings

Recent Post

How to use chatbot services for healthcare on WhatsApp

How to use chatbot services for healthcare on WhatsApp

In recent years, technology integration into healthcare has made healthcare services more accessible, personalized, and efficient. Among these high-end technological advancements, the emergence of chatbot services for healthcare on platforms such as WhatsApp has...

read more

Related Articles

Prescriptive Analytics: Turning Manufacturing Data into Operational Gold

You are sitting on gold, but don’t even know it. Those terabytes of data streaming from your machines and production lines hold the keys to transforming your manufacturing operations. Yet day after day, the precious insights remain locked away while inefficiencies and waste eat into your bottom line. What you need is a master data alchemist to spin all that raw information into operational gold. With advanced analytics techniques like predictive and prescriptive modeling, you can extract actionable intelligence to optimize processes, prevent downtime, enhance quality, and drive strategic decision-making.

Imagine the possibilities if you could predict failures before they happen, tailor products exactly to customer specifications, and simulate the impact of your decisions. The power is in your hands to unlock the full potential of your manufacturing data. You just need the right tools and techniques – data alchemy – to turn it into gold.

Empowering Frontline Workers with Self-Service Analytics Tools: A Guide for Manufacturing CIOs

As a manufacturing CIO, you oversee massive amounts of operational data across your organization. However, this data often remains siloed and inaccessible to many frontline workers who could benefit from analytics insights. By implementing self-service analytics tools, you can empower these frontline workers to independently access, analyze, and derive insights from data relevant to their roles. This democratization of data unlocks tremendous potential, as workers can leverage analytics to guide operational decisions and process improvements.

This article explores best practices for manufacturing CIOs to roll out self-service analytics platforms successfully. You will discover how to select the right technologies, encourage adoption across the workforce, govern usage appropriately, and measure ROI. By following this guide, you can foster a truly data-driven culture and amplify the impact of your data assets.

Think AI