Businesses in retail, events, and healthcare are heavily impacted by weather — yet most lack the tools to anticipate and act on weather-driven changes. Smart Weather is an analytics platform concept designed to aggregate real-time weather data, deliver predictive insights, and serve multiple user personas with tailored dashboards and alerts.
This project documents the full Agile Scrum delivery lifecycle — from persona discovery and API integration design through to MVP roadmap and backlog prioritisation.
Role: Business Analyst
Methodology: Agile (Scrum)
Domain: Weather Analytics · Retail · Events · Healthcare
Organisations across multiple sectors struggle to:
- Anticipate weather-driven demand shifts (e.g. retail stock, event attendance)
- Access actionable, role-specific weather insights in one place
- Plan operations proactively rather than reactively to weather events
- Integrate multiple public weather APIs into a coherent data product
Three distinct personas were defined to shape the platform's features and priorities:
| Persona | Role | Key Need |
|---|---|---|
| 🛍️ Retail Manager | Regional ops manager | Predict demand spikes/drops tied to weather to manage stock and staffing |
| 🎪 Events Coordinator | Event planning team | Receive early alerts for weather disruptions to reschedule or prepare contingencies |
| 🏥 Healthcare Analyst | Hospital capacity planner | Correlate weather patterns with patient admission trends for resource planning |
- Conducted stakeholder analysis to define the three core user personas
- Mapped each persona's goals, pain points, and data requirements
- Translated persona needs into platform feature requirements
- Defined high-level Epics covering:
- Weather data ingestion & API integration
- Persona-specific dashboard views
- Predictive alert engine
- User onboarding and settings
- Broke epics into user stories with acceptance criteria, e.g.:
"As a Retail Manager, I want to see a 7-day weather forecast overlaid with historical sales data so that I can adjust stock orders in advance."
- Prioritised features using MoSCoW method (Must Have / Should Have / Could Have / Won't Have)
- Defined a phased MVP roadmap to guide development sequencing
- Aligned roadmap with stakeholder expectations and technical feasibility
- Identified and evaluated multiple public weather APIs for integration
- Designed data flow architecture for aggregating real-time and forecast data
- Documented integration requirements for the technical team
- Defined KPIs and metrics for each persona
- Designed dashboard layouts tailored to each user's decision-making context
- Specified predictive alert logic for weather threshold triggers
| Deliverable | Description |
|---|---|
| Persona Profiles | Detailed user personas with goals, pain points, and needs |
| Epic & User Story Backlog | Prioritised backlog with acceptance criteria |
| MVP Roadmap | Phased delivery plan with MoSCoW prioritisation |
| API Integration Spec | Requirements for weather data sources and data flow |
| Dashboard Designs | Persona-specific analytics layout specifications |
BA Skills: Persona Development · Epic & Story Writing · MVP Planning · MoSCoW Prioritisation · API Requirements · Agile Scrum · Roadmap Design
- ✅ Defined 3 distinct user personas covering retail, events, and healthcare sectors
- ✅ Built a prioritised product backlog guiding end-to-end platform development
- ✅ Delivered a phased MVP roadmap balancing stakeholder needs with technical constraints
- ✅ Designed a scalable architecture supporting multiple real-time weather API sources
| File | Description |
|---|---|
README.md |
This file — full project case study |
| (Project documentation) | Personas, backlog, roadmap, and integration specs |
Adnan Abbas — Business Analyst & Data Analyst
