Who we are and what drives our analysis work
Domain was founded in 2024 to make complex analysis results accessible to city residents who want to understand the data behind local decisions. We present findings clearly, explain methodology honestly, and connect numbers to real community impact.
How we built a platform focused on clarity
Started with a problem
Analysis reports were sitting in folders, filled with jargon, disconnected from the people they were meant to serve. We saw an opportunity to change how data gets shared in Saint-Hyacinthe and across Quebec.
Built with educators
Teachers, librarians, and community organizers helped shape our presentation approach. They told us what worked in classrooms and what fell flat. Every structural decision reflects their input.
Tested in local settings
Before launching publicly, we ran pilots with neighbourhood groups and adult learning centres. Real feedback from actual users helped us refine navigation, adjust pacing, and simplify explanations.
People behind the platform
Emmett Lavigne
Lead Analyst
Assembling findings that make sense
Emmett joined after working with municipal data systems and seeing how often solid research failed to reach the people it could help. His background in education policy and statistical review shapes how we structure every lecture and explain every finding. He insists that if a concept needs five paragraphs of background, we haven't simplified it enough yet.
Our small team includes researchers who cross-check sources, designers who build accessible interfaces, and moderators who facilitate discussion sessions. Everyone contributes ideas during weekly reviews where we examine what confused users and what clicked. If something tested poorly in a recent session, it gets reworked before the next release.
We collaborate with regional universities, local library networks, and community education coordinators who understand what learners need at different skill levels. Their expertise ensures our content aligns with Canadian educational frameworks while remaining approachable for independent learners. Find out about related developments in our annual news digest on the topic.
Principles that guide every decision
Transparency about limitations
Analysis has boundaries. Sample sizes matter. Correlation doesn't prove causation. We explain these constraints upfront rather than burying them in footnotes, so users understand what conclusions are supported and what remains uncertain.
Accessibility as infrastructure
Screen readers must navigate content smoothly. Colour contrast must exceed minimum standards. Keyboard shortcuts must be intuitive. We design for diverse abilities from the start, not as an afterthought, because accessible design benefits everyone.
Iterative improvement
No lecture is finished. User feedback reveals gaps we missed, new data updates old findings, better explanations replace adequate ones. We treat the platform as a living resource that evolves based on what actually helps people learn.
Local context matters
Analysis means little without understanding the community it describes. We connect statistics to Saint-Hyacinthe realities, reference regional initiatives that address identified issues, and acknowledge cultural factors that shape how data should be interpreted.