Many companies know they need better software, but they struggle to explain what exactly should be built.
They may know the current process is too manual. They may know the team depends too much on spreadsheets, emails, repeated checks, or one person who “knows how everything works.” They may also know that standard software does not fully match the way their business operates.
But when it comes to starting a software project, the request often sounds like this:
“We need a system for this process.”
“We need to automate this work.”
“We need something like our spreadsheet, but better.”
“We need a dashboard.”
These are useful starting points, but they are not yet software requirements.
To create software that works for the business, the process needs to be translated into clear actions, rules, data, roles, and outcomes.
That is where business process analysis becomes important.
What are software requirements?
Software requirements describe what a system needs to do, who will use it, what information it must handle, and how it should support the business process.
Good requirements are not just a list of features. They explain the logic behind the work.
For example, instead of saying:
“Add approval button.”
A better requirement would explain:
Who can approve the request?
When should approval be available?
What happens after approval?
Who receives a notification?
Can the approval be rejected?
Should the action be recorded in history?
Does the approved data need to appear in another report or module?
This level of detail helps turn a general idea into a system that supports real work.
Why business processes must come before features
One of the biggest mistakes in custom software projects is starting with features too early.
A company may ask for a dashboard, but the real problem might be poor data structure.
It may ask for notifications, but the real problem might be an unclear approval process.
It may ask for automation, but the real problem might be that nobody has clearly defined the workflow.
When software is built around feature requests alone, it can easily become a digital version of the same messy process.
That is why the first step should be understanding the business process itself.
Before deciding what the system should look like, it is important to understand:
How does the process start?
Who is involved?
What information is needed?
Where does the information come from?
What decisions are made?
What approvals are required?
Where do delays happen?
What should be visible to managers?
What should be stored for future reference?
Once these questions are clear, software requirements become much easier to define.
Step 1: Map the current process
The first step is to describe how the process works today.
This should include both the official process and the real daily process.
In many companies, these two are not the same.
The official process may say that requests are reviewed by a manager, approved by finance, and stored in a shared folder. But in reality, employees may send messages in chat, update a spreadsheet manually, follow up by email, and ask one specific person to confirm the latest version.
This difference matters.
If software is built only around the official process, it may miss the real actions that make the work move forward.
A useful process map should show:
- Where the process starts
- Each step in the workflow
- Who performs each action
- What data is used
- Which tools are involved
- Where approvals happen
- Where documents are stored
- Where mistakes or delays often appear
This does not need to be complicated. Even a simple step-by-step outline can reveal where the software needs to help.
Step 2: Identify the pain points
After mapping the process, the next step is to identify what is not working well.
Common problems include:
- Duplicate data entry
- Too many spreadsheets
- Unclear responsibilities
- Manual status updates
- Slow approvals
- Missing information
- Version confusion
- Limited reporting visibility
- Disconnected tools
- Overreliance on one employee
- Too much time spent checking or following up
These pain points help explain why the software is needed.
They also help prioritize requirements.
For example, if the biggest issue is duplicate data entry, integration and automatic data transfer may be more important than a new dashboard. If the biggest issue is unclear responsibility, role-based access and status tracking may be more valuable than extra design features.
The goal is not to build every possible feature.
The goal is to solve the right problems first.
Step 3: Define user roles
Every business process involves different people.
A manager may need full visibility.
An employee may only need to submit and update their own tasks.
A finance person may need payment-related data.
An administrator may need to manage users, permissions, or settings.
A client or supplier may need limited external access.
Software requirements should clearly define these roles.
For each role, it helps to ask:
- What should this user be able to see?
- What should this user be able to create?
- What should this user be able to edit?
- What actions should require approval?
- What information should be hidden?
- What reports or notifications do this user need?
This is especially important for internal business systems, where different departments often work with the same process but need different levels of access.
Good role definition improves usability, security, and adoption.
Users should not be overloaded with functions they do not need.
Step 4: Turn actions into system logic
Once the process and roles are clear, the next step is to define what actions the system should support.
Each action should have logic behind it.
For example, “change status” sounds simple, but the system needs to know:
Who can change the status?
Which statuses are available?
Can the status move backwards?
Should the change be recorded?
Should anyone be notified?
Does the status affect reports?
Does it unlock or lock another action?
This is where process knowledge becomes software logic.
The more clearly these rules are defined, the easier it is to build software that behaves correctly in real use.
Step 5: Define the data
Every system depends on data.
If the data structure is unclear, the software will eventually create confusion.
For each process, it is important to define what information needs to be stored.
This may include:
Customer details
Employee details
Project information
Request data
Order details
Document files
Dates and deadlines
Statuses
Comments
Approval history
Financial values
Categories
Reports
It is also important to define which fields are required, which are optional, and which should be selected from predefined lists.
For example, if every employee writes a supplier name differently, reporting becomes unreliable. If statuses are not standardized, managers cannot easily understand what is happening.
Good data structure makes reporting, search, filtering, automation, and integrations much easier later.
Step 6: Decide what should be automated
Not every step should be automated.
Some decisions still need human judgment. Some approvals should remain manual. Some actions should only happen after review.
The purpose of automation is not to remove people from the process. It is to remove unnecessary manual coordination.
Good candidates for automation include:
- Repeated data entry
- Status updates
- Notifications
- Deadline reminders
- Document generation
- Report creation
- Data transfer between systems
- Approval routing
- Simple calculations
- Recurring tasks
Automation works best when the process is already understood.
If the process is unclear, automation can simply make confusion move faster.
Step 7: Prioritize requirements
After collecting all requirements, the list can become long.
That is normal, but not everything needs to be built at once.
A good approach is to separate requirements into three groups:
Must-have requirements
These are essential for the system to work.
Should-have requirements
These are important, but the first version can still work without them.
Future improvements
These can be added later after users start working with the system.
This helps control scope, budget, and timeline.
It also makes the first version easier to test with real users.
For many businesses, the best software project does not start with a huge system. It starts with the most important workflow and then grows from there.
Step 8: Validate requirements with real users
Requirements should not be confirmed only by management.
The people who perform the work every day often know details that are missing from official procedures.
They know where delays happen, which fields are confusing, what information is usually missing, which steps are repeated manually, and which actions need to be faster.
That is why user feedback is important before development and during testing.
A system may look correct on paper but still feel difficult in daily use.
Real user validation helps prevent this.
Example: turning a process into requirements
Imagine a company wanting to improve its internal approval process.
The first request may sound simple:
“We need an approval system.”
But after reviewing the process, the real requirements may include:
- Employees can create requests.
- Each request has a category, description, amount, files, and deadline.
- Different categories require different approvers.
- Managers can approve, reject, or request changes.
- Finance sees approved requests with financial data.
- Users receive notifications when action is needed.
- Each status change is recorded in history.
- Reports show open, approved, rejected, and delayed requests.
- Documents remain attached to the request.
- Users can only see requests relevant to their role.
Now the requirement is much clearer.
The project is no longer just “an approval system.” It becomes a defined workflow with users, rules, data, actions, and reporting.
Why this matters for custom software development
Custom software is most valuable when the business process is specific, complex, or difficult to fit into standard tools.
But custom software still needs structure.
Without clear requirements, development can become slower, more expensive, and harder to manage.
With clear requirements, the project becomes easier to plan, estimate, design, build, and test.
This is why process analysis is such an important part of software development.
How vITcake approaches this
At vITcake, we do not start by simply asking what features a client wants.
We start by understanding how the business works.
That means discussing the current process, identifying pain points, reviewing user actions, checking where data moves, and looking at how the system should support real daily work.
This process-first approach helps us build browser-based software that reflects the client’s workflow instead of forcing the company into a generic template.
The goal is not just to create a system that looks good, the goal is to create software that helps people complete real actions more clearly, consistently, and efficiently.