The Importance of Storytelling in Software Development

Purva Mishra | July 19, 2021 | 246 views

Storytelling is an art. It brings out the best of the teller and the listener. For centuries storytelling has been proved to be a successful way to reach out to the masses. However, a myth about storytelling is that it is considered only as a subject of literature. Well, we are here to break this myth.

The art of telling a story belongs to every field. Be it literature or science, electronics or computers, every field has its own story, even astronomy. Likewise, every little particle has a story to tell.

There is a story in every line of code written by software developers. The user tells a story, and the software developer writes it in a computer code language. Read further to understand more about storytelling in software development.

The Art of Storytelling in Software Development

When a user comes across a problem that needs to be simplified digitally, he explains the problem to the developer or salesperson.

For example, a shopkeeper needs to digitalize his inventory; he will talk about the problems he is facing while manually managing the inventory. This manual management could be handwritten or a basic excel sheet.

Now, when he tells his issue, he says that “I need software that easily tells me about the things I have in my inventory, goods that are to be stocked and also the goods that have and do not have demand.”

When the shopkeeper elaborates his problem and tells them in a story-like manner, the concerned person understands it better. Now imagine if they would say that, “I need software to know about the goods in the inventory.” Unfortunately, this simple sentence does not convey what exactly they are looking for. As a result, the salesperson would not be able to give them appropriate solutions.

Once the story behind the work is understood, the entire team puts in the effort and comes up with perfect solutions. From coding to the visuals of the software, everything works in synchronization. Thus, the story behind the work is of great importance.

Storytelling in software development has a structure. It has a beginning, middle part, climax, end, visuals, and imagination. The only difference in the storytelling tool is that it is known as understanding the need of the user (beginning), designing the solution (middle part), CTAs and ways to reach the target audience (climax), visually appealing and adequately working software delivery (end).

The success of storytelling in software development depends on how well the developer connects with the user’s problem. Once the entire team is on the same page, emotionally and practically, they deliver the most reliable solutions.

The Process of Storytelling in Software Development

Storyteller software is a tool that listens to the thoughts and ideas of the customer, understands their audience, and then transforms them into concrete solutions. Storytelling software uses the following steps.

● Understanding the user story
● Implementation of the story
● Conclusion

Understanding the Story

As described earlier, understanding the story is learning the background of why the solution is being developed. Once the digital storytelling software is understood, the implementation of the solution becomes more apparent.

When the user tells his problem, there is always a story in it. When this story is told to the team, they give a set of solutions to the user. It is like giving them the menu to select the dish they like to be served.

Once they select the dish, it becomes an easy job to make it. But you need to ask the user why he is selecting the particular solution. Because the ‘why’ will answer almost every question that is needed to design the appropriate solution.

Implementation of the Story

The implementation of the story is the ‘show, don’t tell’ part. You need to display the solution on the screen for the user to understand. The user does not know the coding language, but he will understand that if I click this, this happens. And that understanding for the user is the implementation of the story.

We can also say that the implementation of the story is the architecture of the software. A well-built architecture will convey the story to the users. For example, when HRIS software is developed, the HR departments will know that the story behind the development was to ease out their tasks. These tasks could be anything from attendance to salary management.

Always remember, only a well-understood story can be implemented most dependably.

Conclusion

The conclusion of the story is the delivery and installation of the visual storytelling software. The user should be able to find all the answers to his problems in the best possible way. Their story that started with ‘once upon a time’ should end happily ever after’. And this is possible only when the entire team is connected emotionally and practically while working towards the solution.

The conclusion should also convey the climax of the story. The climax implies the CTAs or the final work that the software does after getting the desired data.

Only after you have reached a conclusion and the user is satisfied you will know that you have written an excellent story. This good story is the incredible software you built by gathering the plot, characters, problems, and other raw material from the user!

Benefits of Storytelling in Software Development

We know the process of storytelling in software development, but what do we gain from it? You must be thinking, can’t we listen to the demands, design a solution, and give the user what he wants? So, what is the need to understand the story behind the software?

Well, software delivered without understanding the story is merely a puzzle created. In the future, the software would not be able to answer the most important question -WHY? And that could prove that the software is a failure.

Here are some benefits of storytelling in software development.

● Straightforward Approach

Instead of beating around the bush or designing complicated solutions you will deliver the solutions in simpler steps. And this is because you have well understood the story behind creating the software.

● Understand the Big Picture

The user's story will let you understand what outcomes or expectations the user has from the software. The vision of the user and their expectations from the product can be understood only when the whole team has clarity on what and why they are working.

● Emotional Attachment

When software is developed practically and empathetically, the user also connects well with the software. People have to be given an emotion to get clicks on CTAs or use the software.

A survey was taken wherein people had to donate to a cause. As a result, two types of causes were created. One group was asked to donate food for an underdeveloped country, and the other group was asked to donate for a hungry child. The second group donated more, and many of them stated why they felt emotionally connected to the child.

Thus, the emotional connection of the team to design software is essential.

● Give Better Outcomes

Stories assure better results and excellent outcomes. They make sure that the team works best and the customers are motivated to take action. The story behind the software helps build the software in precisely the way it is asked for.

Thus, You Need to Tell a Story

Building a great story and connecting it with the user’s pain points is the best way to develop a creative solution. This helps paint a picture in the team's minds as to what is being built and why.

Storytelling in software development is essential as each software should convey an incredible story.

Frequently Asked Questions

What is storytelling in software development?

Storytelling in software development understands the story as a tool to design the software more accurately. The thoughts and requirements of the user are used as raw materials and utilized to create an efficient solution.

The story also helps in understanding the audience for whom the software is being developed.

What is the importance of storytelling in software?

Stories create better solutions and excellent outcomes. They motivate the audience to react in a certain way. They connect with the user and the audience on an emotional level. They are impactful and even let developers learn a lot.

They help create better software by keeping the team connected through the story.

What are the software storytelling tools?

Software storytelling tools are the elements that help implement the solution most productively. These are the user's point of view, emotionally connect, purpose, and the answers to the questions- what and why.

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Organizations embracing the transformative power of Viya include: SAS Hackathon 2022 winner Team JAKSTAT used SAS Viya on Microsoft Azure to allot COVID government aid to regional small businesses. The Jakarta, Indonesia team used the AI, machine learning and data modeling capabilities of Viya to prioritize strategic investment, giving the most relief to the micro, small and medium-sized enterprises with the best economic resilience for the region and the country. bioMérieux, a world leader in the field in vitro diagnostics and its software-as-a-service offering, CLARION™, powered by SAS, connects the myriad of health care data inside US hospitals and reference laboratories to provide critical insights to battle public health threats. This innovative solution tracks antimicrobial-resistant bacteria and quickly produces data dashboards on SAS Viya to empower more informed clinical decision-making. 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Amelia Leads Again in Everest Group's Assessment of Conversational AI Vendors

Amelia | September 27, 2022

Amelia, the leading Enterprise Conversational AI software company, today announced that Amelia has been recognized as a Leader in Conversational AI in Everest Group's recent report, Conversational AI – Technology Vendor Landscape with Products PEAK Matrix® Assessment 2022. This marks the second consecutive year that Amelia has been recognized by Everest Group for its leadership in the Conversational AI market. For this PEAK Matrix® assessment, Everest Group evaluated the Vision & Capability and Market Impact of 26 global Conversational AI technology vendors, and then classified each company into one of three categories: Leaders, Major Contenders and Aspirants. Of the 26 vendors assessed, Amelia is named the Leader and placed in the highest overall position in Everest Group's PEAK Matrix®. In the report, Amelia is the only vendor to be listed amongst the top technology vendors for all major business functions, and leads in all major industries – including banking, telecom, healthcare and insurance. Everest Group also highlights Amelia's considerable experience working with global clients from across all industries as a notable strength. Amelia's omnichannel capabilities, sentiment analysis, agent-assist and built-in Orchestration Services are also all recognized as key advantages of the company's Conversational AI platform. "Buyers have also highlighted the cognitive capabilities of the platform, its partnership ecosystem, and the Amelia team's transparency as strength areas of the vendor," the report states. "There is no denying the critical role that Conversational AI continues to play for successful businesses, as evidenced by the exponential increase in adoption that we're observing across industries. As pioneers of this competitive landscape, one which we have pursued for more than two decades, we are honored and proud that for two years running, Everest Group has recognized Amelia as the clear Leader in Conversational AI." Chetan Dube, CEO of Amelia About Amelia Amelia is a leading Enterprise Conversational AI software company with a long history of innovation in automation and Conversational AI. We create fulfilling human experiences through groundbreaking AI solutions, as we enable conversational experiences, streamline IT operations, and automate processes. In 2014, we launched Amelia, the Most Human AI™; then in 2018, we introduced true end-to-end, enterprise-wide automation allowing enterprises to quickly optimize back-end operations. Amelia is consistently recognized by third-party analyst firms as a market leader. Headquartered in New York City with offices in 15 countries, Amelia's roster of client success stories speaks for itself: Our technology impacts more than 200 of the world's leading brands, including global leaders in banking, insurance, telecommunications, and other industries. See how Amelia is powering the Future of Work at amelia.ai.

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AppTek and expert.ai Announce Strategic Partnership

AppTek | September 27, 2022

AppTek and expert.ai announced today they have entered into a strategic technology partnership to bring AI-based text analytics to dynamic audio content in multiple languages. The partnership leverages AppTek's leadership in Automatic Speech Recognition (ASR) and Neural Machine Translation (NMT) technologies with expert.ai's natural language understanding (NLU) capabilities to enable organizations to leverage audio content in the unstructured data sets that they manage for improving decision making and augmenting intelligent automation. As organizations increasingly utilize language data—emails, documents, reports and other free form text— for an ever-growing range of enterprise use cases (knowledge discovery, contract analysis, policy review, email management, text summarization, classification, entity extraction, etc.), natural language capabilities will play a critical role in powering any process or application that relies on unstructured language data. The combined capabilities of AppTek and expert.ai supercharge enterprise and government NLU and NLP (natural language processing) applications, expanding the data types and sources available for analysis to provide even more informational output. "This partnership brings the full stack Human Language Technology to the federal and commercial space in both Europe and the United States. As we cover multiple sources and types of information input together, we address the full scope of recognition, cognition, interpreting and analytics. "We look forward to implementing our joint vision." Michael Veronis, Chief Revenue Officer at AppTek Using AppTek's speech-to-text technology within the expert.ai Platform, organizations can automatically transcribe audio types from different sources, including high-quality media broadcast content, podcasts, meetings, one-to-one interviews or even low-bandwidth telephone conversations. In addition, they can leverage advanced multilingual functionalities to generate highly accurate, customizable and scalable translations across hundreds of language pairs. "The challenges posed by different languages and dialects along with the constraints of speech-to-text accuracy are causing organizations to miss out on the massively unexploited value of language data, especially audio content," said Colin Matthews, Chief Revenue Officer at expert.ai. "We are thrilled for this partnership, since AppTek technologies for automating speech recognition and machine translation complement our AI-powered natural language capabilities by harnessing the potential of dynamic multilanguage audio content within the expert.ai Platform." About AppTek AppTek is a global leader in artificial intelligence (AI) and machine learning (ML) technologies for automatic speech recognition (ASR), neural machine translation (NMT), natural language processing/understanding (NLP/U) and text-to-speech (TTS) technologies. The AppTek platform delivers industry-leading, real-time streaming and batch technology solutions in the cloud or on-premises for organizations across a breadth of global markets such as media and entertainment, call centers, government, enterprise business, and more. Built by scientists and research engineers who are recognized among the best in the world, AppTek's multidimensional 4D for HLT (human language technology) solutions with slice and dice methodology cover hundreds of languages/dialects, domains, channels and demographics, and drive high impact results with speed and precision. About expert.ai Expert.ai is a leading company in AI-based natural language software. Organizations in insurance, banking and finance, publishing, media and defense all rely on expert.ai to turn language into data, analyze and understand complex documents, accelerate intelligent process automation and improve decision making. Expert.ai's purpose-built natural language platform pairs simple and powerful tools with a proven hybrid AI approach that combines symbolic and machine learning to solve real-world problems and enhance business operations at speed and scale. With offices in Europe and North America, expert.ai serves global businesses such as AXA XL, Zurich Insurance Group, Generali, The Associated Press, Bloomberg INDG, BNP Paribas, Rabobank, Gannett and EBSCO.

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