Okay, here are some AI prompt templates tailored for business analysts, categorized by common tasks and use cases. Remember to replace the bracketed information with your specific details.

I. Requirements Elicitation & Documentation

• User Story Generation:


• "Generate user stories for a [System/Application Feature] from the perspective of a [User Role], ensuring the story includes [Specific Requirement]. Use the format: 'As a [User Role], I want to [Goal] so that [Benefit]'."


• "Write 5 user stories for a [Type of User] who will be using the new [System Name] system. The stories should reflect common use cases of [Main Function]."


• Functional Requirements:


• "List the functional requirements for a [System Name] system that allows users to [High-Level Functionality]. Focus on [Specific Area, e.g., user authentication, data validation, reporting]."


• "Define the detailed functional requirements for the [Module Name] module of the [Application Name]. This module is responsible for [Module Function]. Include at least 10 specific requirements, including error handling and user notification needs."


• Non-Functional Requirements:


• "Outline the non-functional requirements for a [System Type] system, considering aspects like performance, security, usability, and maintainability. Quantify requirements wherever possible (e.g., 'Response time should be less than X seconds')."


• "Explain the security requirements for a [System Name] system that will handle sensitive [Data Type] data, considering [Compliance Standard]. Ensure you account for [Specific Attack Vector]"


• Use Case Description:


• "Describe the use case for [Use Case Name] in the [System Name] system. Include the actors involved, the preconditions, the main success scenario, alternative flows, and post-conditions."


• "Write a detailed description of the 'Place an Order' use case for an e-commerce application, with actors: Customer, System. Include common error conditions and alternative flows for out-of-stock items or invalid payment information."


• Requirements Prioritization:


• "Given these user stories [Paste User Stories], prioritize them using the [Prioritization Method, e.g., MoSCoW, Kano Model] method. Explain your reasoning for each prioritization."


• "Assess the [Specific User Story] user story against the following criteria: business value, development effort, risk, and dependency on other features. Provide a justification for its recommended priority (high, medium, low)."


• Gap Analysis:


• "Perform a gap analysis between the current state of [Process Name] and the desired future state of [Improved Process Description]. Identify key gaps and suggest potential solutions."


• "Compare the functionalities of [System A] to [System B]. Highlight the features present in A but missing in B, and functionalities that B offers, but A doesn't"


• Data Requirements


• "Describe the data required to support the [Specific Business Process or Feature]. Include data sources, data types, and data quality requirements."


• "Document the data elements needed for the [Report Name] report, including their definition, source, and required frequency of updates."

• Process Flow Diagram:


• "Generate a process flow diagram (in text format, suitable for a diagramming tool) for the [Process Name] process. Include the key steps, decision points, and actors involved."


• "Summarize the steps in the following business process and outline potential bottlenecks: [Paste Process Description]."


• Process Optimization:


• "Analyze the following process [Paste Process Description or Diagram]. Identify potential areas for improvement, focusing on reducing costs, improving efficiency, and minimizing errors. Suggest specific changes."


• "Given this workflow diagram for [Workflow Name] create 3 possible improvements to increase efficiency and reduce costs"


• Root Cause Analysis:


• "Conduct a root cause analysis for the problem of [Problem Description] in the context of [Business Area]. Use the [Analysis Method, e.g., 5 Whys, Fishbone Diagram] method."


• "Using the 5 Whys technique, investigate why [Specific Problem] is occurring within the [Specific Department/Process]."


• Business Process Modeling Notation (BPMN):


• "Model the [Process Name] process using BPMN. Provide a description of the process elements (events, tasks, gateways) and their connections."


• "Translate this written description of [Specific Process] into BPMN notation. Focus on capturing the parallel and sequential workflows with appropriate event triggers."

• Data Analysis Insights:


• "Analyze the following data [Paste Data or Describe Data] and provide insights relevant to [Business Goal]. Focus on identifying trends, patterns, and anomalies."


• "Perform exploratory data analysis on the provided customer data set [Describe Data]. Identify key customer segments and their characteristics."


• Report Generation:


• "Generate a template for a report on [Report Topic] that includes the key metrics, visualizations, and analysis needed to inform [Business Decision]."


• "Outline the key performance indicators (KPIs) that should be included in a monthly sales report for [Product Line] or [Region]."


• Dashboard Design:


• "Describe the key elements and layout of a dashboard to monitor [Business Area]. Specify the metrics to be displayed, the types of visualizations to use, and the target audience."


• "Suggest 5 different visualisations of the data from [Data Source] to show trends in [Specific Metric] over time"


• Data Quality Assessment:


• "Assess the quality of the following data set [Describe Data or Paste Data Snippet], identifying potential issues related to completeness, accuracy, consistency, and validity. Propose data cleansing steps to address these issues."


• "What metrics are useful for measuring the quality of [Specific Data] and how could these be automated"


• Predictive Analysis:


• "Based on the historical data of [Type of Data] predict what the value of [Specific Metric] will be in [Timeframe], assuming [Specific Constraints/Factors]."

• Meeting Agenda:


• "Create an agenda for a meeting to discuss [Meeting Topic] with [Stakeholder Group]. Include the objectives, topics to be covered, and expected outcomes."


• Presentation Outline:


• "Outline a presentation on [Presentation Topic] for [Target Audience]. Include the key messages, supporting data, and call to action."


• Executive Summary:


• "Write an executive summary of [Document/Project] highlighting the key findings, recommendations, and benefits."


• "Summarise the [Document Type] with key findings from [Source Document] including [Specific Metrics] and [Recommendations]"


• Status Report:


• "Generate a status report for the [Project Name] project, covering progress against milestones, risks, and issues."

• SWOT Analysis:


• "Conduct a SWOT analysis for [Company/Product/Project]. Identify the Strengths, Weaknesses, Opportunities, and Threats."


• "Analyze the competitive landscape for [Industry/Market Segment] and summarize the major strengths and weaknesses of the top three competitors."


• Market Analysis:


• "Summarize the key trends and opportunities in the [Industry/Market Segment] market, considering factors like [Specific Factors, e.g., technological advancements, regulatory changes, consumer behavior]."


• Business Case Development:


• "Outline the key elements of a business case for [Project/Initiative], including the problem statement, proposed solution, benefits, costs, and risks."


• Competitive Analysis:


• "Create a competitive analysis matrix comparing [Company A] to [Company B] to [Company C] across the following dimensions: [List Dimensions, e.g., price, features, market share, customer service]."

• Be Specific: The more specific you are, the better the results. Include details about the context, desired format, and level of detail.


• Provide Examples: If you have examples of what you're looking for, include them in the prompt.


• Use Keywords: Use industry-specific keywords and terminology to help the AI understand your request.


• Iterate: Don't be afraid to refine your prompts based on the initial results. Experiment with different phrasing and approaches.


• Specify the Output Format: Tell the AI exactly how you want the output to be formatted (e.g., bullet points, table, paragraph, code).


• Define the Tone: specify if you need the output to be formal, casual, technical, etc.


• Use Constraints: Add limits. "Give me 3 options", "Write less than 200 words"