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* [Grouping User Stories into Epics](#grouping-user-stories-into-epics)
* [Steps for Creating User Stories](#steps-for-creating-user-stories)
+> **Why User Stories?**
+>
+> Environmental data often involves complex scientific concepts and diverse stakeholders. User stories facilitate collaboration between scientists, product owners, developers, and users to ensure the data product or service meets real-world needs.
+
### What are User Stories?
User stories are simple, clear descriptions of a feature or functionality told from the perspective of the user. They help everyone on the team understand and agree on what needs to be built and why.
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- **Use the user story format:** "As a [user], I want to [do something] so that [I can achieve some goal]."
- **Example:** "As an environmental consultant, I want to filter air quality data by location so that I can assess pollution levels in a specific area."
+
+Read more user story examples.
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+* **British Oceanographic Data Centre (BODC):** As a marine biologist studying the impact of climate change on coral reefs, I want to access historical and real-time oceanographic data (temperature, salinity, currents) for specific reef locations so that I can analyse trends and predict future impacts.
+* **Centre for Environmental Data Analysis (CEDA):** As an atmospheric scientist researching air pollution patterns, I want to download and process large datasets of atmospheric composition and meteorological variables from satellite and ground-based observations so that I can develop models to forecast air quality.
+* **Environmental Information Data Centre (EIDC):** As a conservation manager planning a habitat restoration project, I want to access spatial datasets of land cover, species distributions, and soil types for my project area so that I can identify suitable locations for reforestation and monitor ecological changes over time.
+* **National Geoscience Data Centre (NGDC):** As a geologist assessing the risk of landslides in a mountainous region, I want to query a database of geological maps, borehole records, and seismic data for the area so that I can identify unstable slopes and develop mitigation strategies.
+* **Polar Data Centre (PDC):** As a glaciologist studying ice sheet dynamics in Antarctica, I want to access and analyse satellite imagery, ice core data, and meteorological records from polar research expeditions so that I can understand the processes driving ice melt and contribute to sea level rise projections.
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#### Step 4: Define Acceptance Criteria
- **Specify desired outcomes:** For each user story, define clear and testable acceptance criteria.
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- **Gather feedback:** Continuously collect feedback from users after the feature is released.
- **Refine user stories:** Use feedback to refine existing user stories or create new ones to address evolving user needs.
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### **Conclusion**
Creating user stories requires you to understand user needs and to take their perspective. This understanding usually comes from good user research. By creating user stories you can ensure that the rest of the team has a good understanding of those needs as well. Involving a cross-disciplinary team in the user story scoring and prioritisation will ensure the team is focusing on the most important aspects of the product. Ultimately, creating well thought out and researched user stories can help you create more successful products that truly meet the needs of its users.
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