About the lab
EdTechLab designs and builds digital tools for education researchers and research teams. We work where experimental quality, learning context, analytics integrity, and long-term usability all need to hold together.
Snapshot
Who we are
We invest in reusable systems, shared infrastructure, and products that can support more than one team. Research-aware product judgment, careful design, software engineering, and analytics thinking all sit inside that model.
Why we exist
EdTechLab exists to reduce that friction with practical, well-structured technology that supports better experiments, clearer evidence, stronger collaboration, and more durable research outcomes.
Meet the lab
EdTechLab operates as a small, specialist lab for research systems, analytics, workflow infrastructure, and education technology products. The work is founder-led and organised around durable tools, credible implementation, and clear public communication.
Founder
Founder, EdTechLab
Sara Jasouli leads EdTechLab across research systems, analytics design, workflow infrastructure, and product direction, with a focus on building education technology that is usable, evidence-aware, and ready for real institutional contexts.
Connect
How the lab operates
EdTechLab is designed as an independent lab model: start with a real operational or research problem, define the evidence and implementation constraints early, prototype quickly, and carry repeated patterns forward into product architecture when the problem is broad enough to justify it.
Current working model
Founder-led scoping, product judgment, and delivery direction.
Standards frame
xAPI, 1EdTech, WCAG 2.1 AA, FAIR, and UK GDPR where relevant to the work.
1
Work starts by clarifying the user group, study or delivery context, evidence burden, and institutional constraints before any build choices harden.
2
Prototypes are used to inspect sequence, usability, analytics fit, and operational realism before the work is treated as a scalable product path.
3
Accessibility, data handling, export paths, and integration constraints are treated as product requirements rather than a later polish pass.
4
EngagedLab is the current example of that model: a repeated higher-ed delivery problem turned into a public product with its own roadmap.
Current milestones
11 March 2026
Founder profile, audience pages, and trust content published across the site.
11 March 2026
First Lab Notes article published on analytics design and evidence quality.
11 March 2026
EngagedLab case study, screenshots, and walkthrough added to the live website.
How we work
We work with a lean, disciplined model that keeps scope clear, decisions documented, and delivery grounded in the realities of research and educational environments.
Research teams should be able to understand what a system is doing, why it matters, and how it fits the work.
Strategy, workflow design, analytics, and implementation are treated as one connected job rather than disconnected phases.
Educational and research organisations need more nuance than generic software playbooks, especially where evidence quality is important.
We want technology that remains useful after the launch moment and can evolve with the researchers and institutions using it.
Vision
Create tools that protect researcher time, reduce friction in study operations, and help teams focus on analysis, experimentation, and outcomes.
Improve the quality of evidence by designing systems that treat analytics, workflow clarity, and implementation discipline as core requirements.
Launch products like EngagedLab while keeping room for future researcher-facing tools, collaborations, and lab initiatives.
Next move
