Skip to main content

How Good Are You At Blamestorming?

Blamestorming is a well-known game IT organizations spend hours playing every week. There are different leagues and names for this game. Some call it the "war room", others the "service restoration call", but they basically follow the same simple rules. The goal of the game is to figure out the origin of an IT service degradation issue and collectively identify the one person — or the team — to blame for it, then hold them responsible for the resolution and the business consequences.

It often occurs in the form of a meeting, where the players meet in a conference room or on the phone.

The game usually starts with an IT performance degradation that impacts your most critical business applications. The cause, and this is important, should not be obvious; nothing in plain sight like a load balancer or a web server being down.

And there are plenty of events that can make a great game if your company is:

- An e-commerce company and, for some reason, your payment processing system is unexpectedly slow, preventing sales from being booked online

- A manufacturer and your supply chain system does not respond, causing delays and production to stall

- A hospital and the clinicians start complaining about the system performance

- A bank servicing remote locations from where the tellers can’t access the system

Remember, the more complex the application architecture, the better — it will make the game more interesting with many different players. The reason these games are so popular is that they are most often unplanned and unforeseen.

So how do you get to play? You will most likely get invited by your boss directly. When your phone rings the game play is on.

There are some indicators that will let you know if this is going to be an interesting game.

First, is the location the usual meeting room or a different one because the former is too small? The larger meeting room means that there will be many players, which should make the game last longer.

Another sign is the attendee list: if your boss’s boss is invited, then you know it's going to be an intense game. We have heard of games being kicked off by the CIO or the CFO and hosted in a hotel conference room because they could not accommodate all the players. The number of players will give you an idea of the complexity of the mystery to be solved. We have seen teams so good that one game could last more than 24 hours.

There are different types of players and many styles you can adopt, just like playing poker:

- The guessers. They don't have a clue, but they will guess anyway. They usually don't bring anything relevant, and you will hear them say things like, “There must be something wrong with the web servers because the team in Houston can't even access the system, or maybe it's the configuration of the database, or maybe it's the network itself?”

- The fact checkers. They come to the table with some kind of evidence that they can't be blamed for the problem. We have found that the network teams are usually pretty good at this, as they are used to being suspected at the beginning of the game, "It has to be the network."

- The screamers. They will try to intimate the other players. Sometimes the loudest screamers win or at least buy some time.

- The quiet. They will stay quiet until other players question them. Then they start challenging the elements and ask for evidence.

Image removed.

Basically, decide who is to blame for the screw up, and be ready to give enough evidence that will justify a deeper investigation by the players.

The other teams, if able, will try to disprove your theory by showing you one piece of evidence that exonerates them.

And this goes on until the case is solved and all the false possibilities have been eliminated. In the end, whoever is wrong, owns the issue and resolution and loses the game!

It’s important to note that we are witnessing a trend in companies to limit the possibilities for IT staff to participate in blamestorming competitions. They claim that these games are costly for the company due to the loss of revenue involved with revenue-generating application issues. They also complain about drop-offs in employee productivity when the issue prevents end users from doing their job, such as ERP failures.

Be aware that IT directors will often try to limit the number of games and their duration because they think this activity consumes too much of the IT staff time. They feel this time could be better put to use on more strategic projects.

As a result, we have seen IT management teams put into place new generation APM solutions. These solutions provide too much troubleshooting information upfront, which eliminates the mystery and the suspense.

Recently, a large producer and distributor of eyewear reduced the average duration of their games by 85% from 20 hours to less than 3 hours today, reducing the number of players at the same time. They are just killing the game!

Comic strip by Siobhan Ohmart and Vincent Geffray

ABOUT Vincent Geffray

Vincent Geffray is Senior Product Marketing Manager of Enterprise Solutions for Compuware’s APM business and has more than 14 years of experience in the IT Operations Management industry, with specialization in datacenter performance improvement.

Hot Topics

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...

How Good Are You At Blamestorming?

Blamestorming is a well-known game IT organizations spend hours playing every week. There are different leagues and names for this game. Some call it the "war room", others the "service restoration call", but they basically follow the same simple rules. The goal of the game is to figure out the origin of an IT service degradation issue and collectively identify the one person — or the team — to blame for it, then hold them responsible for the resolution and the business consequences.

It often occurs in the form of a meeting, where the players meet in a conference room or on the phone.

The game usually starts with an IT performance degradation that impacts your most critical business applications. The cause, and this is important, should not be obvious; nothing in plain sight like a load balancer or a web server being down.

And there are plenty of events that can make a great game if your company is:

- An e-commerce company and, for some reason, your payment processing system is unexpectedly slow, preventing sales from being booked online

- A manufacturer and your supply chain system does not respond, causing delays and production to stall

- A hospital and the clinicians start complaining about the system performance

- A bank servicing remote locations from where the tellers can’t access the system

Remember, the more complex the application architecture, the better — it will make the game more interesting with many different players. The reason these games are so popular is that they are most often unplanned and unforeseen.

So how do you get to play? You will most likely get invited by your boss directly. When your phone rings the game play is on.

There are some indicators that will let you know if this is going to be an interesting game.

First, is the location the usual meeting room or a different one because the former is too small? The larger meeting room means that there will be many players, which should make the game last longer.

Another sign is the attendee list: if your boss’s boss is invited, then you know it's going to be an intense game. We have heard of games being kicked off by the CIO or the CFO and hosted in a hotel conference room because they could not accommodate all the players. The number of players will give you an idea of the complexity of the mystery to be solved. We have seen teams so good that one game could last more than 24 hours.

There are different types of players and many styles you can adopt, just like playing poker:

- The guessers. They don't have a clue, but they will guess anyway. They usually don't bring anything relevant, and you will hear them say things like, “There must be something wrong with the web servers because the team in Houston can't even access the system, or maybe it's the configuration of the database, or maybe it's the network itself?”

- The fact checkers. They come to the table with some kind of evidence that they can't be blamed for the problem. We have found that the network teams are usually pretty good at this, as they are used to being suspected at the beginning of the game, "It has to be the network."

- The screamers. They will try to intimate the other players. Sometimes the loudest screamers win or at least buy some time.

- The quiet. They will stay quiet until other players question them. Then they start challenging the elements and ask for evidence.

Image removed.

Basically, decide who is to blame for the screw up, and be ready to give enough evidence that will justify a deeper investigation by the players.

The other teams, if able, will try to disprove your theory by showing you one piece of evidence that exonerates them.

And this goes on until the case is solved and all the false possibilities have been eliminated. In the end, whoever is wrong, owns the issue and resolution and loses the game!

It’s important to note that we are witnessing a trend in companies to limit the possibilities for IT staff to participate in blamestorming competitions. They claim that these games are costly for the company due to the loss of revenue involved with revenue-generating application issues. They also complain about drop-offs in employee productivity when the issue prevents end users from doing their job, such as ERP failures.

Be aware that IT directors will often try to limit the number of games and their duration because they think this activity consumes too much of the IT staff time. They feel this time could be better put to use on more strategic projects.

As a result, we have seen IT management teams put into place new generation APM solutions. These solutions provide too much troubleshooting information upfront, which eliminates the mystery and the suspense.

Recently, a large producer and distributor of eyewear reduced the average duration of their games by 85% from 20 hours to less than 3 hours today, reducing the number of players at the same time. They are just killing the game!

Comic strip by Siobhan Ohmart and Vincent Geffray

ABOUT Vincent Geffray

Vincent Geffray is Senior Product Marketing Manager of Enterprise Solutions for Compuware’s APM business and has more than 14 years of experience in the IT Operations Management industry, with specialization in datacenter performance improvement.

Hot Topics

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...