In our first Sprint week we organized our team documents and then began to define our end users. We set up our planning and Retro Boards in Figma, created a Kanban Board to record backlog and task assignment and also a schedule for rotating task sign-up in Notion.  This format allowed us to share the workload, work independently and to collaborate. It also enabled the entire team to gain experience in all tasks.

We then worked to identify the target user by collecting data, brainstorming, and working through problem statements. We analyzed the data using affinity mapping, statistics, and comparative analysis. We found opportunity in three areas, the individual consumer, small businesses and food assistance organizations. We planned to continue gathering data to focus our scope.

In our second Sprint week we applied the Jobs to Be Done Framework to gain a better understanding of the pain points users face while using competitor platforms. Analysis of the pain points and opportunities resulted in some feature suggestions. Some of the features that emerged were: improving posting using a template, notifications and reminders, ratings, profiles and blogs. We are excited to see early survey results from research align with our findings.

In Sprint 3 we created a proto persona using early data from the research survey and worked through collaborative exercises to define the product vision.

We created the proto persona by brainstorming the details together to form a relatable user. This will be later refined into a more final Persona in collaboration with all teams.

The product vision began to crystallize based on the collective data. The key points of Food Distro’s vision are to create an easy to use and credible platform where users can quickly share and find extra food in the community while becoming better informed about food waste reduction.  In the beginning phase we will focus on the individual consumer, while the longer range goal will include individuals, small businesses and food assistance groups. We plan to continue refining our vision and identifying features.

In Sprint week 4 we held a collaborative Product Vision Workshop to prioritize features. We used the MOSCOW method to identify which features may be most crucial. We will begin forming user stories based on the features identified.