The Most Common Reasons IT Projects Fail and How to Spot Them Early

How did we choose the order of the reasons IT projects fail?

We did not set the order by impression, but by what damages a project's value most often in practice: the business goal first, then analysis, the plan, people, communication and finally the way it is deployed. Higher up are the factors that can spoil a project earlier and at greater cost.

We worked with 4 criteria for the ordering:

1. How early the problem destroys the project's value – whether it changes direction before development even starts, or only shows up during deployment.
2. What impact it has on budget and deadline – whether it causes minor friction or extensive rework.
3. How often it appears in corporate IT projects – particularly in CRMs, internal systems, web applications and automations.
4. How easily it can be reversed – whether one decision is enough, or the backlog, architecture and processes have to be rewritten.

That is why strategy and analysis are in the top places, not technology. When a company does not know exactly what outcome it expects, or describes its requirements only superficially, even a strong team cannot deliver the right system. As complexity grows, the risk rises considerably. PMI reports that 97 % of professionals managed at least one complex project in the past year, roughly a third of complex projects fail to meet their originally intended goals, and teams that handle complexity effectively are 5 times more likely to succeed.

This ranking therefore does not only track project management mistakes. It also covers mistakes on the side of company leadership, ownership, priorities and decision-making, because in IT projects these are the areas that determine whether a useful tool gets built or merely an expensive list of features.

Why are unclear goals and an unmeasurable outcome reason number 1?

Reason number 1 is an unclear goal, because it affects everything else before the first development task. If the team does not know what the project is meant to change in the business, it cannot make sound decisions about scope, priorities or architecture. The result tends to be software that works technically but does not deliver the expected outcome.

The most typical symptom is that every stakeholder describes project success differently. Sales expects more leads, operations less manual work, management reporting, and the user faster approvals. All of it may be legitimate, but if no single shared definition of the outcome emerges, the backlog turns into a compromise without a clear direction.

In practice we recommend naming 3 things before the analysis:

• one main business goal — shortening order approvals, for example,
• three measurable success indicators, such as processing time, error rate, the number of manual steps,
• a clear out of scope, in other words what this release does not address.

On projects such as a custom CRM this is the foundation, because without a definition of the outcome a CRM quickly becomes just a store of contacts rather than a tool that runs the sales process. So if the sentence “we will see during development” is being said in your team, the problem very probably does not start in the code but in an unclear goal.

Why is shallow analysis of requirements and processes reason number 2?

Reason number 2 is shallow analysis, because it creates an expensive kind of mistake: for a while the project looks healthy, but after the first demos it turns out the system does not reflect how the company actually operates. At that point it is no longer about small adjustments, but about reworking workflows, roles, integrations and data.

Companies often describe only the ideal process. They leave out the exceptions, approval rules, duplicates in the data, exports to accounting, connections to the e-shop, user permissions, or situations where a customer does something out of the ordinary. It is exactly these details that decide whether the system simplifies the work or complicates it further.

Good requirements analysis should therefore collect more than a list of features. It should break down:

• who performs which step,
• where the data comes from,
• what triggers exceptions and approvals,
• which integrations are critical,
• the criteria the output will be accepted against.

With custom development this is the difference between a system that respects a company's real processes and one that forces the company to work around its own rules. The same applies to automation solutions: if you do not know the exact flow of data and exceptions, you are not automating a process — you are only moving the chaos into a new tool.

If fundamental requirements only surface after the first prototype, the project probably does not suffer from weak development but from weak analysis.

How do unrealistic scope, deadline and budget become reason number 3?

Reason number 3 is an unrealistic plan, because it can turn even a good project into a series of emergency compromises. When the scope is too broad, the deadline too fixed and the budget too tight, the team does not start making better decisions. It starts cutting analysis, testing, documentation and quality.

The typical scenario looks like this: a company wants a single release to launch a new CRM workflow, reporting, mobile access, several integrations, a migration of historical data and a new customer portal. On paper it looks efficient; in reality, dependency piles on dependency. One delay is enough for the whole plan to collapse.

The most reliable correction is not “work faster”, but making the first goal smaller. The first release should retain only the project scopethat:

1. covers one main process end to end,
2. can be tested with real users,
3. delivers a measurable result,
4. does not create technical debt purely to hit a date.

If everything in a project is critical, then in reality nothing is prioritised. If the plan falls apart before the first working output, the problem is usually not the team's discipline but a bad estimate of scope against time and capacity.

Why is a missing project owner on the company side reason number 4?

Reason number 4 is weak ownership, because without someone on the company side who owns the project, makes decisions and connects the business with the implementation, the project stalls even with a strong supplier. Without that role, priorities never get closed, approvals drag on and the team waits for answers.

Most often it shows up like this: the workshop is attended by people who can describe the problem but have no mandate to decide. Or the opposite — decisions are made by management who do not see the process in daily reality. The result is the same: the backlog changes, but the project does not move.

A project needs at least these roles on the client side:

• an owner of the goalwho sets the priority,
• a key user who knows the process in detail,
• someone for data and integrations if the system reaches into several tools,
• an approver of decisions, so changes do not sit in an inbox for weeks.

This is not just suppliers' private experience. MIRRI SR explicitly lists sufficient internal expert capacity among its 5 principles for managing IT projects, names the key project roles, and for national projects allows at least 15 % of the budget for internal capacity covering design, management and handover into operation.

So if the supplier is regularly waiting for input, that is not an administrative detail. It is one of the main reasons an IT project falls apart from the inside.

How do weak communication and unmanaged change become reason number 5?

Reason number 5 is weak communication, because it does not destroy a project with one big incident but through a steady divergence from reality. It is rarely the initial cause, but it very often accelerates the collapse of a project already suffering from an unclear goal, weak analysis or weak ownership.

The problem is usually not that the team has too few meetings. The problem is that there is no single source of truth. Requirements sit partly in e-mails, partly in chat, part was said on a call and part gets “sorted out somehow” during development. After 2 weeks nobody knows what was approved, what is only a proposal and what is a new idea.

Four simple rules help the most:

• every decision has an owner and a date,
• every scope change goes into the change log,
• every priority has one approver,
• every demo ends with a clear list of next steps.

If completely new topics open up after every presentation, if sales and operations contradict each other and if the team is hearing 3 different versions of the brief, a communication problem is no longer a soft skill. It is a direct cause of rising cost, slipping deadlines and frustration.

Why is a megalomaniac start without phasing reason number 6?

Reason number 6 is too large a start, because it raises the risk in every other area at once. The more modules, integrations, teams and expectations you put into the first release, the harder the project is to test, approve, correct and deploy. A big bang approach often merely postpones feedback.

This pattern recurs in the literature as well. According to a study on ResearchGate , many e-commerce projects tend to be “too complex and megalomaniac” to be introduced into practice sensibly. We see the same mechanism in internal systems, CRMs and automations.

A better approach is phasing the project by value and risk:

1. launch first the process that delivers a result soonest,
2. then add the integrations with the highest impact,
3. and only afterwards extend reporting, automations and supplementary roles.

If a company cannot imagine a first release without ten “essential” areas, that is more a signal of weak prioritisation than of real need. For inspiration on how gradual delivery helps, it is also worth looking at examples of our work, where it is easy to see that a working system does not have to appear all at once.

How do these reasons compare in a single table?

The fastest way to get your bearings among the causes is to compare them by early signals, typical impact and the first intervention. That shows whether your project is failing on strategy, analysis, capacity or the way it is being delivered. The table works as a quick diagnostic for both management and the project team.

Rank	Reason	How to spot it early	Typical impact	The first sensible intervention
1	Unclear goals and an unmeasurable outcome	Everybody defines success differently, out of scope is missing	The project delivers features, not an outcome	Unify on 1 goal, 3 KPIs and an owner
2	Shallow analysis of requirements and processes	Exceptions, data and integrations only surface during development	Expensive rework of workflows and logic	Write up the processes, roles, edge cases and acceptance criteria
3	Unrealistic scope, deadline and budget	Everything is a priority, the plan is packed with no slack	Shortened testing, technical debt, delays	Reduce the first release to one main process
4	A missing project owner on the company side	The supplier waits for decisions, workshops end without conclusions	Blocked tasks, slow approvals, chaotic priorities	Appoint an owner, a key user and an approval framework
5	Weak communication and unmanaged change	Requirements live in e-mails, calls and chat at once	Cost and deadline creeping up in small increments	Introduce a change log, a decision log and one source of truth
6	A megalomaniac start without phasing	The first release is meant to cover too many areas at once	Complicated testing, risky deployment, weak feedback	Split the project into phases by value and risk

If more than one row fits while you read the table, that is normal. Most failed IT projects do not collapse on a single mistake but on a chain of causesthat reinforce one another. Usually it is a combination of two or three problems — an unclear goal, weak analysis and unmanaged change, for example.

How do you choose the right first step once you can see warning signs on a project?

The right first step does not depend on what frustrates you most, but on the root of the problem. Get the diagnosis wrong and you will be treating symptoms. Get the cause right and one intervention in ownership, scope or analysis is often enough to stabilise the project.

Use these shortcuts:

• The team is working, but nobody can say what success is: go back to the goal, the KPIs and out of scope.
• Requirements only appear during development: stop expanding the backlog and finish the process analysis.
• The project is late before the first real output: reduce the scope of the first release, not just the team's pace.
• The supplier is waiting for feedback and decisions: appoint an owner and an approval regime on the company side.
• Every demo opens up new fundamental topics: introduce a change log and prioritisation rules.
• The first release is meant to solve everything at once: split the project into phases by value and risk.

When the problem runs deeper, it pays to start with discovery and solution designrather than another improvised sprint. The goal should not be to “get the project moving at any cost”, but to reset the architecture, priorities and expectations so the system grows together with the company.

If you are unsure which cause is dominant in your case, at BeCode we will help you quickly separate the symptoms from the root of the problem in a no-obligation consultation, so that the next step supports the outcome rather than just spending more capacity.

Frequently asked questions

Does an agile approach reduce the risk of an IT project failing?

Yes, but only when agile is not used as an excuse for an unclear brief. An agile approach reduces risk through earlier feedback, better prioritisation and splitting the project into smaller valuable steps. It will not, however, save a project that has no owner, no goals and no honest analysis.

Do CRM, ERP and e-shop projects fail for the same reasons?

To a large extent yes; what differs is mainly where the problem shows up first. With a CRM, work with the process and team adoption tend to be critical; with ERP, integrations and data; with an e-shop, performance and the customer journey. The root tends to be similar: goal, analysis, priorities, ownership and change management.

Can an IT project be saved once it is late and the budget is growing?

In most cases yes, provided the spread of chaos is stopped first and development continues only afterwards. The project needs to be re-diagnosed: set the goal, reduce the scope of the nearest phase, add ownership and tidy up the decisions. The biggest mistake is assuming that more work will automatically correct the wrong direction.