Potential Future Adoption of AI For The Business Analysis Function

Four simple AI – Artificial Intelligence tools suggested here are those that are easy to plug-in into your Business, and that the Business Analysis function within your small or large organisation could benefit from, Jenny Cameron -Principal Business Analyst explains the following:

Adopting an analysis friendly tool through an AI-powered platform that combines external insights and experiences with tools and capabilities that unite those insights into one customer experience management is highly advantageous for businesses looking to increase customer numbers in their database and increase brand recognition and business engagements. This is done in order to further leverage the use of information and communication technology to create social value. Four simple tools/approaches are recommended here for small to large businesses to adopt and use; Sprinklr, User-Story-Generator, Taskade, and adoption of good project management platform and issue tracking tool available today, although they have been around for quite some time now, it could still be valuable and relevant for your business.

Adoption of ‘Sprinklr’, transforming the business through its AI-powered social listening tool, it does so through a unified platform to manage your business by combining your social media, customer experience, and marketing performance overview to improve customer engagement. The business analyst can establish the necessary ‘trigger words’ and ‘categorisation’ required from Sprinklr, the business analyst can work to leverage Sprinklr to your company’s benefit and concentrate on operational efficiencies. The business analyst’s goal is to use Sprinklr analytics results and look for initiatives that concentrate on more advanced strategic operational efficiencies.

More about Sprinklr: fundamentally built on AI & Machine Learning (ML) technology like Natural Language Processing (NLP) and Deep Learning. Sprinklr invests significantly in AI R&D, constantly improving its models and exploring new applications (like generative AI). AI isn’t just an add-on with Sprinklr, it’s a core foundational component enabling many of their key features and value propositions.

Adoption of a ‘User Story Generator’, an artificial intelligence (AI) tool that assists in addressing the challenges of writing user stories and business requirements document (BRD), by efficiently processing and interpreting large datasets is a benefit; however, an AI user story generator will still be unable to generate the appropriate context or coherence of the topic that is a perfect match. That being said, this simply indicates that the business analyst will still need to review and improve those outputs.

More about User Story Generator: while simple template-based generators exist, the vast majority of useful and modern user story generators heavily rely on AI technology to provide value beyond just formatting. Being an AI-powered versus generators being simple templates, there’s a distinction; basic rule-based/template-based rely on predefined templates, drop-down menus, forms, and simple rules. You input specific details (like Actor, Action, Goal, Value), and the tool plugs them into a standard format “As a (type of user), I want (some goal) so that (some reason/value).” These are not AI reliance as they as basic programming logic, not AI.

AI-powered generators use Large Language Models (LLM) like GPT-4, Claude, Gemini, or similar AI technology. You provide a prompt describing the feature, user need, or context, and the AI generates potential user stories based on its understanding of language, software development concepts, and common patterns. However, even with using AI-powered/AI assisted, requires careful prompt engineering and human review/editing, and that’s where a business analyst can help with giving oversight that the generated stories sound good and with practical feasibility or business value. Furthermore, an AI-powered would go further in suggesting acceptance criteria or related stories.

Adoption of Taskade, an artificial intelligence tool for making spider diagrams or mind maps. This tool supports that impact analysis work, gives the business analyst a high-level view of teams and systems, and helps you remember the overall context bubble surrounding the topic or project and the relationships related to what you need to deliver.

More about Taskade: Taskade isn’t just using AI, it’s built around AI as a central pillar to supercharge how individuals and teams work, plan and collaborate.

Adoption of any of the following project management platform and issue tracking tool such as; JIRA by Atlassian, Larksuite, Monday.com, Microsoft Azure DevOps, Microsoft Dynamics, and those of similar in nature. These platforms enable business teams and analysts to plan, monitor and oversee project development through agile workflows and plan-driven work. To accept or reject newly proposed work requirements or user stories and identify any work duplication, issue tracking tools are utilised.

Before you implement these tools/platforms/processes into your business, first check for alignment, that it aligns with your ultimate goals, and see below the given metrics how success could be measured, and the implementation steps to get a collective approval perhaps if possible getting consultation from experts before implementing your strategies, best to also review the benefits and risks associated with implementing with AI components and features.

Critical analysis and editorial by Jenny Cameron -business analyst, MBA.