More insights.
Subscribe to our newsletter.
Deep dives into design thinking, creative process, and the intersection of business and aesthetics.
The fastest way to digitize a problem
Imagine taking the most frustrating process in your business. The one employees complain about. The one customers occasionally get stuck in. The one that requires multiple approvals, several emails, a spreadsheet that nobody fully trusts, and at least one person who somehow knows how everything works. Now imagine taking that exact process and moving it into a shiny new system.
Congratulations. You’ve successfully transformed a bad process into a digital bad process.
This is one of the biggest reasons digital transformation projects fail. Businesses often assume that technology will automatically improve the way work gets done. New software gets implemented, dashboards appear, workflows become automated, and everyone expects better results. Yet six months later, employees are still frustrated, customers haven’t noticed much difference, and leadership is wondering why the promised transformation never materialized.
Digital doesn’t automatically mean better
There’s a common assumption that replacing manual work with digital tools automatically creates efficiency. Paper forms become online forms, email chains move into workflow software, and spreadsheets become dashboards. On the surface, it feels like progress because the process looks more modern than it did before. The challenge is that many businesses never stop to ask whether the process itself makes sense. If customers still have to complete unnecessary steps, they’ll continue completing unnecessary steps. If employees still wait days for approvals, they’ll continue waiting days for approvals, just inside a newer system.
Technology can improve a process, but it can’t compensate for poor process design. In fact, inefficient processes often become even more frustrating once they’re digitized because people expect technology to make things easier. When it doesn’t, disappointment quickly follows.
The “lift and shift” mistake
Many organizations approach digital transformation by taking existing processes and moving them into new systems without questioning how those processes evolved in the first place. Over time, businesses accumulate workarounds, extra approvals, duplicate tasks, and unnecessary complexity. These additions rarely happen intentionally. Each one is usually introduced to solve a specific problem, and before long they become part of the normal way of working.
The issue is that nobody stops to challenge them. Why does this approval exist? Why does information get entered multiple times? Why does a simple request pass through three different departments? When those questions aren’t asked, the business simply transfers the complexity into a new platform. The software changes, but the experience remains remarkably familiar.
The best transformations start before technology
The organizations that achieve the best results from digital transformation rarely start with software. They start by understanding how work moves through the business. They map processes, identify bottlenecks, review customer journeys, and challenge assumptions about why things are done a certain way.
Only after they understand the process do they begin looking at technology. That’s because technology works best when it supports improvement rather than trying to create it. The software becomes an enabler of a better process instead of a digital version of an old one.
Transformation isn’t a software project
One of the biggest misconceptions about digital transformation is that it’s a technology initiative. In reality, it’s a business initiative. The goal isn’t to implement software. The goal is to improve how the business operates, how employees work, and how customers experience the organization.
That’s why many successful transformation projects begin with process improvement long before technology enters the conversation. Businesses that take this approach often avoid expensive mistakes because they’re solving the right problems first. The software simply becomes the tool that supports the solution rather than the solution itself.
The fastest way to digitize a problem
Imagine taking the most frustrating process in your business. The one employees complain about. The one customers occasionally get stuck in. The one that requires multiple approvals, several emails, a spreadsheet that nobody fully trusts, and at least one person who somehow knows how everything works. Now imagine taking that exact process and moving it into a shiny new system.
Congratulations. You’ve successfully transformed a bad process into a digital bad process.
This is one of the biggest reasons digital transformation projects fail. Businesses often assume that technology will automatically improve the way work gets done. New software gets implemented, dashboards appear, workflows become automated, and everyone expects better results. Yet six months later, employees are still frustrated, customers haven’t noticed much difference, and leadership is wondering why the promised transformation never materialized.
Digital doesn’t automatically mean better
There’s a common assumption that replacing manual work with digital tools automatically creates efficiency. Paper forms become online forms, email chains move into workflow software, and spreadsheets become dashboards. On the surface, it feels like progress because the process looks more modern than it did before. The challenge is that many businesses never stop to ask whether the process itself makes sense. If customers still have to complete unnecessary steps, they’ll continue completing unnecessary steps. If employees still wait days for approvals, they’ll continue waiting days for approvals, just inside a newer system.
Technology can improve a process, but it can’t compensate for poor process design. In fact, inefficient processes often become even more frustrating once they’re digitized because people expect technology to make things easier. When it doesn’t, disappointment quickly follows.
The “lift and shift” mistake
Many organizations approach digital transformation by taking existing processes and moving them into new systems without questioning how those processes evolved in the first place. Over time, businesses accumulate workarounds, extra approvals, duplicate tasks, and unnecessary complexity. These additions rarely happen intentionally. Each one is usually introduced to solve a specific problem, and before long they become part of the normal way of working.
The issue is that nobody stops to challenge them. Why does this approval exist? Why does information get entered multiple times? Why does a simple request pass through three different departments? When those questions aren’t asked, the business simply transfers the complexity into a new platform. The software changes, but the experience remains remarkably familiar.
The best transformations start before technology
The organizations that achieve the best results from digital transformation rarely start with software. They start by understanding how work moves through the business. They map processes, identify bottlenecks, review customer journeys, and challenge assumptions about why things are done a certain way.
Only after they understand the process do they begin looking at technology. That’s because technology works best when it supports improvement rather than trying to create it. The software becomes an enabler of a better process instead of a digital version of an old one.
Transformation isn’t a software project
One of the biggest misconceptions about digital transformation is that it’s a technology initiative. In reality, it’s a business initiative. The goal isn’t to implement software. The goal is to improve how the business operates, how employees work, and how customers experience the organization.
That’s why many successful transformation projects begin with process improvement long before technology enters the conversation. Businesses that take this approach often avoid expensive mistakes because they’re solving the right problems first. The software simply becomes the tool that supports the solution rather than the solution itself.