User Stories:
- As a new CMO, I want to input structured CSV data with historical marketing information so that I can understand the revenue impact of different marketing-mix scenarios over the past four quarters.
- Benefit/Value: Gain a statistical foundation for decision-making and a comprehensive overview of historical marketing performance.
- As a CMO who has recently joined the company, I want to view predictions based on historical data so that I can anticipate revenue outcomes if the same marketing scenarios were projected forward.
- Benefit/Value: Make informed decisions about future marketing strategies by understanding potential outcomes.
- As a CMO with concerns about overspending, I want the software to model the results of reducing content syndication so that I can assess the impact on revenue.
- Benefit/Value: Quickly evaluate the consequences of adjusting specific marketing tactics.
- As a CMO, I want the software to provide recommendations on alternative marketing tactics so that I can diversify strategies and achieve target revenue.
- Benefit/Value: Receive actionable guidance to optimize the marketing mix and reach revenue goals effectively.
Ranking:
- Inputting structured CSV data for historical analysis is considered crucial as it lays the foundation for understanding past performance.
- Viewing predictions based on historical data follows closely, providing insight into potential future scenarios.
- Modeling the impact of reducing content syndication is important for addressing specific concerns about overspending.
- Providing recommendations for alternative tactics is valuable for optimizing the marketing mix and achieving target revenue.
Requirements:
Functional Requirements
Priority Levels:
- High Priority
- As a new CMO, I want to input structured CSV data with historical marketing information, so that I can understand the revenue impact of different marketing-mix scenarios over the past four quarters.
- As a CMO who has recently joined the company, I want to view predictions based on historical data, so that I can anticipate revenue outcomes if the same marketing scenarios were projected forward.
- Medium Priority
- As a CMO with concerns about overspending, I want the software to model the results of reducing content syndication utilizing some form of AI recommendation, so that I can assess the impact on revenue.
- As a CMO, I want the software to provide recommendations on alternative marketing tactics, so that I can diversify strategies and achieve target revenue.
- Low Priority
- (Empty for now)but will be readjusted based on client meetings
Non-functional Requirements
Priority Levels:
- High Priority
- Usability: The system should have an intuitive user interface for easy interaction with CMOs.
- Medium Priority
- Design & Implementation: The system design should be modular and scalable to accommodate future changes and expansions.
- Low Priority
- Reliability: The software should be reliable in providing accurate predictions and recommendations based on historical and projected data. (The only reason placed into low priority is because as a small team we cannot ensure the quality of the recommendations by the A.I engine.
Interfaces
Priority Levels:
- High Priority
- APIs: Programming interfaces should be well-documented for potential integration with other systems. This goes hand-hand with getting a good grade in this class.
- Medium Priority
- Agreed-upon Sketches: Include agreed-upon sketches or screenshots of the interfaces for clear expectations. (Still waiting on client to provide idea of UX)
- Low Priority
- (Empty for now)