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Salmon’s Synthesis Board also provides researchers with the ability to see higher-level information around their clusters. Every cluster provides teams with the ability to see demographic data around participants. This can help researchers identify any biases within their work, and whether they need to explore further research to validate their findings.
Working remotely or asynchronously can make staying aligned as a team during synthesis a challenge. Salmon addresses that by providing context modals into every piece of evidence. That way, you can quickly understand what prompted a statement, or ask questions around another teammate’s tagging or clustering decisions.
Utilize past research in your current projects
Salmon endorses data sustainability. If researchers have past work that can be re-utilized, Salmon allows them to harness that work into their current projects.
Directly include desk research into your field research
Salmon envisions annotating to be an experience that should be richly connected with your other research materials and artifacts. Directly embed links to spreadsheets, images, and other documents that are referred to within your field interviews.
Focus more time on crafting your insights
Synthesizing can be time consuming and the game of searching for evidence in a sea of post it notes can feel counterproductive. Tagging and search helps researchers focus on making the connections to build their insights rather than scour for that missing piece of evidence.
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Provide structure to ambiguity
Conducting research within complex problem spaces is hard for anyone, let alone budding researchers. Salmon keeps the tedious parts of synthesizing research simple so students can focus on analyzing their evidence and creating solid insights from them.
Achiveve alignment on clustering data
People can come into research from interviewing with their own mental models of the problem space. Salmon recognizes that research can be personal and allows its users to have conversations around tagging and clustering that might be unfamiliar to them.
Create automated reports to focus on their research narratives.
Delivery is closely linked with the synthesis process so students can focus less on “digging for the right evidence” and more on creating the right narrative to their work.
Follow students’ line of reasoning
Salmon helps Facilitators see the train of thought that led to student insights. The Salmon breadcrumb trail allows facilitators to identify any gaps in logic that would make a particular insight problematic.
Check in on progress of students
With Salmon’s Delivery phase, facilitators to get a glimpse at how students are approaching their research so they can identify critical issues with research goals, participant pools, and more.
Allow more student exploration in synthesizing evidence
Salmon’s tagging component means facilitators can have their students take more risks while synthesizing their evidence while keeping clear connections between pieces of evidence.
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In order to give users the chance to experience Salmon firsthand, two prototypes were created. Together they demonstrate the capabilities of the design, and invite feedback on potential improvement. While these prototypes only represent the user facing portion of Salmon, they make the ideas represented in the design more tangible.
The Figma prototype is comprehensive, showing the full process of Annotation, Synthesis, and Delivery, but only represents a superficial view of Salmon’s capabilities.
The React prototype focuses exclusively on the Synthesis process, and dives much deeper into the details of the interactions. Users can try their hand at filtering, clustering, and exploring the details of evidence. See for yourself!
Salmon’s immediate goal is to ensure seamless import and export functionalities.
To make Salmon optimized for students, Salmon will incorporate efficient onboarding and educational features in the future.
Salmon shows a lot of potential to be scaled up for professionals.
Salmon helps researchers generate insights easily, but what if it can automate researchers’ work?
