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BATimes_May30_2024

Mapping Success Together: Tips for Inclusive Process Maps

There are numerous things that we can do to make process maps more inclusive; however, while they tend to go against established practices, they offer a range of benefits to making maps more inclusive for all.

 

A process map should be standardized within a business to map out the steps to achieve a business goal and show sequential steps, tasks, and gateways. There are a few established standards (UML, BPMN, etc.). My aim is not to advocate methods but to encourage inclusive standardization. Consistency is key, as it enables comparison and evaluation and can also assist colleagues with neurodiversities.

Typically, there are two sight-loss personas: low vision and no vision. Low vision is when a colleague has a combination of: fields—the amount of sight you have (half-close your eyes to see top and bottom field loss). The other is acuity, which is how sharp it can be seen (almost fully closing your eyes until the words go fuzzy can demonstrate acuity loss). The huge amount of variation between fields and acuity loss means that it is very hard to get a one-size-fits-all solution to sight loss.

The second persona has no vision. This is typically what you think of when you think of the word “blind.” No vision means no useful vision—you may be able to see something, but you cannot understand it without third-party intervention. Only a small percentage of vision-impaired people have no vision, but it is crucial to ensure inclusivity for them.

Process maps are inherently visual, so the following tips are mostly based on low vision. Low-vision users, with some tweaks, can read process maps if care is taken by the business analysts to make them as inclusive as possible.

 

Firstly, some whole-map tips. Use a clear font, classified as “sans serif.” These are simple, non-fancy stroke fonts that are easy to read, e.g., Arial and Calibri. Bad examples are brush script, harlow solid, and monotype cursive. Another consideration is the font size. Typically, it is best to produce it in large print, size 14, or giant print, size 18. This is not just helpful for those with low vision but will also reduce eye strain for fully sighted users. San-serif fonts are also dyslexia-friendly.

Secondly, make the connectors, or the lines between process steps, consistent in both thickness and color. The thicker the better, as there is more chance of seeing them, but they must also be in proportion to the other objects, or else it will look so odd that few people will engage seriously with the map. This is the balance between usability and accessibility.

 

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Thirdly, low-vision users will zoom in a lot more than they are used to, sometimes only having a few letters on screen. With this in mind, there are two things that must be considered: Navigation: ID codes. By coding every step, data object, or note, you allow a low-vision user to navigate quicker using metadata instead of engaging with the full object. Each object class should be different; typically, I use process steps as numbers, notes as N1, N2, etc., and data objects as D1, D2, etc. Depending on which software you use to map your process, this can also assist any user in searching quickly and efficiently.

Screen real estate is also an important consideration. The more you zoom in, the less you can see the bigger picture. So, if objects are spaced far apart, it’s harder to understand the map. I recommend placing objects close together. Where you have multiple connectors coming out of an object, line them up so they overlap, looking like one connector, and have them branch off with the connector text as close to the break as possible, allowing someone who is zoomed in to be able to follow with ease.

 

Fourthly, color is important. There are several vision-impaired color schemes, such as yellow on black, white on black, etc. These are all highly subjective but share one common feature: they are high-contrast colors. My advice then is not to use similar colors, such as black and grey, white and silver, or white and yellow, as these types of pairings are very hard to see and can be easily missed or unreadable. Neon colors are highly effective, as most accessible technology offers color inversion, and when you invert a neon color, it stays the exact same shade, meaning there can be no misunderstanding in color coding like RAG systems. I advise only using one color scheme, or at most, in the case of impact assessing a process, a RAG for change size and blue for new—all in neon colors.

Finally, for all users, but specifically No Vision users, think about object semantics. By this, I specifically mean connector lines. Accepted practice means that we have no arrow heads on lines, and a double arrow head is assumed. This is presumably to make it look nice. A screen reader, though, has no context for this as there is no semantic instruction to relay to the user. Therefore, adding doule arrow heads will allow the semantic meaning to go through the connector. This is because a screen reader will consider the connector itself, not the thing it is connected to, which is what a person with sight will do. All a screen reader will visualize is a line, and a sighted user will see the line and the objects connected.

 

To summarize, process maps are visual. We can make them inclusive of low- and no-vision users by adapting our frameworks and standards. Specifically, by looking at font type and size, object layout and identification, color schemes, and the semantic meanings of diagram objects, we can minimize the risk of low- or no-vision users not understanding, thus making the business more inclusive and effective.

These tips are by no means exhaustive nor gospel, so please feel free to use them as a starter for ten, and hopefully they will help you kickstart your own inclusive process map designs!

BATimes_May23_2024

Learning to Love Compliance

OK, I’m going to let you into a secret here. I genuinely like compliance projects. You know the ones, those projects that people think are really boring because they relate to a change in regulation or legislation? The ones that it’s really hard to get people excited about? The ones that few BAs volunteer for? Yep, those ones!

 

Framed differently, there’s often a real opportunity to shape and scope things in a way that isn’t always the case with other (seemingly more exciting) projects. These projects can be career-enhancing, provide more autonomy and really don’t have to be boring. Or, at the very least, they don’t have to be as boring as they first appear! Let me explain…

 

Pain Reliever or Vitamin

I remember reading somewhere that one question that some Silicon Valley venture capitalists will ask startups when they are pitching for funding is:

“Is your product a pain reliever or a vitamin?”

 

You might think it is better to be a vitamin. Yet, apparently, the answer that investors are looking for is ‘pain killer’. Sure, we might take vitamins some days, but it’s easy to forget. But if you’re in pain, you will soon remember to reach for the pain reliever. So, solving a pain point will likely get people to reach into their wallet.

Think about a change in regulation or legislation. Most people who are part of the core business know they need to comply, but if we’re brutally honest, they probably aren’t that interested. A change in (say) data protection legislation is just a distraction to them. They probably don’t care how it’s solved, as long as it doesn’t disrupt them too much, and as long as it doesn’t cost too much.  In fact, they might even be worried that the legal & compliance team are going to be ‘heavy handed’ and create all sorts of bureaucracy for them.

 

This is an area where BAs can act as a real pain reliever. By working with the relevant business areas and the legal and compliance team, by working with stakeholders to understand enough about the business operations, the solution landscape and the legislation or regulation we can co-create innovative solutions. We can find a balance that works for the different stakeholders, and rather than just achieving compliance, might actually improve things for them too. Imagine that, a compliance project actually leading to improvements!  It is totally possible.

Crucially, we take away a distraction for them. We get far more autonomy and leeway to shape things precisely because they just want the pain to go away.

 

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Understanding The Problem

One of the things I love about compliance problems is the fact that business people usually haven’t pre-determined a solution. Other projects often come with an assumed solution attached (e.g. “Oh, we’re going to implement XYZ system, so we need you to write a couple of user stories”, leading to us having to work backwards to understand the problem).  Usually the brief is really broad (e.g. “Comply with the new Data Protection Act).

This leaves the BA with a significant amount of autonomy and latitude. There will be many ways of solving that problem, and defining the problem space is usually really fun and makes a huge difference to the success. The biggest challenge is people will often think that the impact is small, when actually it is actually far wider ranging. It’s therefore necessary to bring stakeholders along on the journey.

Although every compliance project is different, I typically find starting by identifying and having an understanding of the legislation or regulation is key. Of course, the BA does not need to be a legal expert, but we need to know enough to ask sensible questions and challenge. In many jurisdictions, legislation is written in (fairly) plain language, and you can even start to imagine some of the business rules/impacts that might be implied by it as you read it.

 

However, an important next step is to work with the relevant business and compliance stakeholders to determine the company’s interpretation of the legislation or regulation.  Rarely are these things completely prescriptive. You’ll find words like “appropriate” and “from time to time” and other phrases that show the intent without prescribing solutions. Particularly with new regulations this can be tricky, as there’s no existing convention or regulator judgements to base things on. Ultimately this is often a balancing act, and an area where good facilitation is key.

Ultimately, all of this leads us to a position where we can judge the impact on existing processes, applications, data and more. This is where the requirements or stories get written, but they will trace neatly back to an interpretation of a piece of the legislation or regulation. In many ways scoping can be easier on regulatory projects… a requirement either maps to a piece of the regulation or it doesn’t! (OK, it’s never quite that binary, but it is close).

 

Fringe Benefits

There’s still the challenge of selling regulatory projects to stakeholders. If we can’t get them excited about them, then there’s a chance their attention will wane and they won’t give us the input we need.

This is where our pain reliever/vitamin analogy comes in useful again. In fact, a good compliance project can be both.  A (hypothetical) project to comply with new data protection legislation might ensure we avoid million dollar fines (pain killer) while also providing us the opportunity to cleanse our existing data, so reports are more accurate (pain killer) and we have more flexibility on how we capture future data (vitamin).  This is just an example, but I am sure you get the gist.

So, have I changed your view of compliance projects? Either way, connect with me on LinkedIn and let me know. I’d love to hear your views!

 

BATimes_May15_2024

Business Analysis: How and Why Do I Need To Evolve?

Without a doubt, artificial intelligence (AI) is here to stay and is not going anywhere. Still, it would and has even started disrupting the status quo of many industries and organizations. Well, this is an undisputable, crucial innovation. Still, I would gladly refute Elon Musk’s’ claim that “We will have for the first time something smarter than the smartest human. It’s hard to say exactly what that moment is, but there will come a point where no job is needed” (Marr,2023).

The human factor must be considered in every career path or industry; however, professionals in every space and sphere must evolve with the dynamic and changing environment.

Why do we need to evolve?

Regarding my specialization as a Business Analyst, how and why do I need to evolve?

Recently, there has been a surge in the search for business analysts. This is not because this is a new field; instead, it has existed since the Middle of the Old Stone Age, when the ancestors were able to effectively adapt to the changing natural environment, identify their needs, problems, and opportunities, and develop solutions to make their abode livable and habitable.

 

What is Business Analysis?

According to the BABOK Guide V3, Business analysis enables change in an enterprise by defining needs and recommending solutions that deliver value to stakeholders. Business analysis enables an enterprise to articulate needs and the rationale for change and design and describe solutions that deliver value.

The business analysis field has undergone several nomenclature changes and could be referred to by different names in different industries. Some famous names include Business systems analysis, business process analysis, functional analysis, product ownership, systems architecture, project management, usability analysis, user experience consulting, operations assessment, and technical writing.

 

Business Analysis Requirements

The BABOK Guide v3 views requirements as a usable representation of a need and a design as the usable requirement of a solution. Still, both concepts can be used interchangeably and primarily depend on the context of being used or adopted. Requirements need to be identified, collected, modeled, analyzed, validated, verified, traced, prioritized, managed, and maintained in the lifecycle of a project (Pre and post-project stages). Still, they are all related to a business problem that requires a solution. It could be in the form of an organizational objective that must be met, a business process that needs to be optimized, and an existing solution that needs to be improved or even retired. The BABOK guide v3 defines a Context as the circumstances that influence or are influenced and provide an understanding of a required change. This explains that requirements are broad and depend on the context, such as industry, regulation, project, weather, attitudes, behaviors, etc.

 

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Unpacking BA requirements for Artificial Intelligence

Business analysts should not view themselves as AI experts but understand that they exist to drive change while still understanding the capabilities that AI provides and its complexities. Business analysts must see themselves as a bridge between business needs and AI capabilities.

Understanding the complexities of AI algorithms may and may not be a hard nut to crack; however, with a fundamental understanding of Natural language processing/ machine learning and knowing that most AI tools have been embedded with the critical technology to understand human language, as well as the ability to sieve through large data sets and establish a pattern or relationships, could serve as helpful information. Business Analysis could also establish broader knowledge of AI capabilities.

Also, the core of business analysis is need identification and solution generation. Both are valuable, but the most critical is correctly and efficiently identifying existing needs or problems, thus providing room for developing requirements and generating solutions.

This brings us to the question: can AI help in need identification or problem assessment? Realistically, with established data and available documentation, AI could help identify a need, but Hey, that need would be missing users’ humanity. Whatever solution is generated should provide or enhance satisfaction. However, can AI understand the complexity of the human emotion? With AI, we could develop the goals, desired outcomes, and key performance indicators (KPIs) and define roles and responsibilities, but how can usability be assessed?

With AI in business analysis requirements comes data quality, security, and privacy requirements. Every requirement generated for BA activities must answer these 3 data prongs. How reliable is the requirement gathered? If a requirement is trustworthy, it could speak to its quality. Was the requirement confirmed, verified by necessary stakeholders, and validated to align with identified needs?

To achieve these three tasks, the requirements must be specified and modeled to fit the organization’s environment with due consideration of the stakeholders involved. The modeling can be in the form of matrices or even diagrams, for which AI could be beneficial. Still, the prompts must be correct, which reflects the data quality and reliability. Using AI to generate, specify, or even model requirements (inexhaustive) would lead to data security and privacy prongs.

Privacy and security are critical issues in the professional world, not just business analysis. Before every BA task, how AI should be adopted and what data should be provided as AI prompts need to be addressed. There is a need to protect user privacy and define adequate security measures, as IT systems are susceptible to attacks. Privately owned AI tools can still be attacked; strict security and privacy rules must be strictly followed.

This is also very important as some requirements can serve as Unique selling points for a specific business or even a trade secret. In this situation, the use of AI might be optional.

 

Conclusion

Knowing that the Business analysis role will continue to evolve as a context evolves or dictates or even as a business dictates while putting Artificial intelligence as an addition in a context, it is recommended that the requirements generated in previous contexts be adequately managed and maintained for reuse. When done correctly, this would enhance knowledge sharing as AI could help create a central repository for past project requirements, thus making it easier for business analysts to learn from past experiences and build on existing knowledge, which could lead to overall project success.

 

BATimes_May15_2024

Beyond The Happy Path: One Size Does Not Fit All

Up until a few years ago, I used to spend a lot of time working ‘on the road’. I’d spend time traveling between different client-sites, and this would inevitably mean spending far too much time in airports. Business travel is one of those things that sounds really glamorous until you do it, but believe me it soon gets really boring.

 

When you are a regular traveler, you tend to become very familiar with certain airports and you know exactly how to transition through them quickly. If you’re ever at an airport, you can usually spot regular travelers as they tend to know exactly where they are going, and tend to move at pace.  This is completely different to the family who are checking in with three kids, who are having to refer to the signs, and might have even initially arrived at the wrong terminal. Quite understandably, they often need a little bit more help.

I used to joke that it would be good to have an entrance especially for regular travelers, as their needs are so different (I certainly wouldn’t be buying anything from the duty free store, not even one of those giant airport Toblerones that seem ubiquitous in Europe, but a family may well do). This wouldn’t be practical in airports, but it does highlight a point that has direct relevance for business and business analysis: sometimes you need two (metaphorical) entrances…

 

Understanding Different Usage Patterns

When defining a process, journey or set of features for an IT system, it’s common to think about one path or scenario through which users will navigate.  This main success scenario or ‘happy path’ is then often supplemented by exceptions and alternative paths which are essentially ‘branches’ from the main scenario.

Yet it is worth considering that different types of stakeholders might have different needs as they navigate through. There might even be benefit in having two entry points. Building on the airport analogy, an experienced traveler probably doesn’t need to be told about the security rules (unless they have changed recently). A new or less frequent traveler may well need to be informed in detail.

This translates to wider contexts too. An experienced user of an IT system probably won’t want lots of dialogue boxes popping up with hints and tips. A new user might need virtual hand-holding as they learn how the application works.  Someone who calls a call center once might need to hear that three minute Interactive Voice Response (IVR) message explaining all about the services they can access via phone, and letting them know which number to press.  Someone who calls every day as part of their job probably doesn’t need to listen to the whole three minute spiel every time they call… Understanding these usage patterns is key.

 

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One Size Rarely Fits All

There is often a desire to standardize processes, journeys and customer experiences. There is benefit in doing this, but the benefit really surfaces when the different users and stakeholders are understood. Understanding whether users will be casual/occasional or regular is important, as is understanding what they are ultimately trying to achieve.

This relies on elicitation and customer research. This is an area where business analysts can add value by advocating for the customer’s perspective. Too often definition and design decisions are made by people in comfortable conference rooms who are detached from what the experience will actually be like. Sometimes those decisions are made by people who haven’t spoken to a real customer in a decade (or ever!).

In these situations we can ask important but difficult questions such as “what evidence do we have that customers want that?”,  “which types of customers does that appeal to most?” or “how do we know this will be a priority for our customers?”.  Using a technique such as personas, when coupled with proper insight and research, can make a real difference here.

 

As in so many cases, asking these questions can sometimes be uncomfortable. But if we don’t ask them, who will?

BATimes_May08_2024

Overcoming 3 Common Challenges of Business Process Modelling

Identifying and depicting business processes is the first step towards understanding the current state and developing a plan for the future. Business analysis activities are often oriented towards enabling and supporting change. The most important aspect of having a process model is that it enables a business to quickly see how well all the different aspects of the business are aligned to achieve common goals. When there is misalignment, it becomes evident very quickly in the model, and the business can plan how it will deal with getting properly aligned again.

Business analysts, using primarily elicitation and modelling techniques, try to find out the means by which an organization carries out its internal operations and delivers its products and services to its customers.

 

However, process modelling and analysis can be tricky. Below are some challenges:

 

  1. Figuring out the tasks

It’s difficult to obtain information about the complete process when there are many engaged departments. Usually every part of the process is aware of the specific tasks and activities in which they’re involved, but they miss the whole picture. Frequently, after the process modelling has been finalized, the engaged actors can holistically understand the end-to-end process.

  • Trying to figure out first who is involved and the starting and ending points of the process is crucial in order to drill down and find the details for each step. It may be a good idea to begin with the most experienced actors or those who have a helicopter view. It is more than important, however, to validate your insights against other sources of information to be sure that you have captured accurate information.
  • Having information about the industry context may be helpful, as the basic business processes among organizations in the same industry have things in common. This, of course, does not mean that the specific organization’s parameters should not be taken into consideration.

 

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  1. Systems Thinking

Consistency, It’s a necessary verification criteria in process identification and modeling. The steps and tasks involved in the process should make sense as parts that form wholeness, not as independent elements. In order to meet deadlines and get immediate results, business analysts frequently reduce the amount of time spent understanding the context. Delivery of value through a process modelling initiative will be limited, as long as we think analysis is about figuring out just specific characteristics of a solution that are already predefined in their minds. Systems thinking is a vital mindset that allows a business analyst to understand the as-is state and communicate it in a way that will be commonly understood by all stakeholders. This is an essential step in defining the future state.

 

 

  1. Understand how the process fits into its environment.

If a model doesn’t define how it fits into its environment, it will struggle, and its likelihood of resounding success is greatly diminished. Understanding the fit of a process within its internal and external environment is a complex, multi-faceted exercise. A business analyst needs to understand who the actors are, what their needs are, and how they can be reached. The business also needs to know who its suppliers are. Only when all relationships between the internal and external environment are understood can the business analyst ensure it is shaping an effective process model.

 

Identifying misalignment issues and understanding problems and opportunities for the business can be triggered by process analysis via modeling. Through effective process modelling, the following questions can be answered:

  • What processes does the business currently maintain?
  • How do the processes fit within their environment?
  • How do the processes create and maintain value in the external and internal environments?
  • What is the gap between the as-is and to-be states?