Business Requirements Document (BRD) for Data and AI Products

1. Introduction

1.1 Purpose
Briefly describe the purpose of the document.
1.2 Scope
Define the scope of the Data and AI product that this requirements document will cover.
1.3 Audience
Identify who the intended readers of this document are.

2. Business Overview

2.1 Business Challenges
Describe the key challenges the business is facing that necessitate the development of the Data and AI product.
2.2 Value Proposal
Outline the value that the Data and AI product will provide to the business, including potential ROI and strategic benefits.

3. Stakeholders

List all stakeholders involved in this project along with their roles and responsibilities.

4. Functional Requirements

4.1 User Stories
Document user stories to capture the features and functionalities from the end-user perspective.
4.2 Feature List
Provide a comprehensive list of features that need to be included in the Data and AI product.

5. Non-Functional Requirements

5.1 Performance Requirements
Define expected performance criteria, including response times, throughput, and resource utilization.
5.2 Scalability
Explain how the product should scale – both vertically and horizontally.
5.3 Security Requirements
Outline the security protocols required, including data classification, data encryption, access controls, and compliance with data protection regulations (e.g., GDPR).
5.4 Reliability and Availability
Specify uptime requirements, recovery point objectives (RPO), and recovery time objectives (RTO).

6. User Journeys

Provide detailed user journey maps to illustrate how users will interact with the Data and AI product, highlighting key touch points and decision points.

7. Architectural Considerations

7.1 System Constraints
Identify any constraints (e.g., technological, financial) that may impact the architecture of the Data and AI product.
7.2 Integration Requirements
Specify any existing systems that the new product must integrate with, along with requirements for data exchange protocols.

8. Success Criteria

Define how the success of the Data and AI product will be measured.

9. Glossary

Provide definitions for any technical terms, acronyms, or jargon used throughout the document.

10. Appendix

Include any additional information, diagrams, or references that support the requirements document.