Workflow systems
Study setup, operational tooling, and delivery systems for structured programmes
Designed to reduce coordination overhead across research support, pilots, and institution-facing delivery.
Engineering the Future of Learning
Research, products, analytics, and delivery systems
Education technology systems for research, product innovation, and institutional adoption.
EdTechLab is a UK education technology lab. We design researcher tools, workflow systems, learning analytics, pilot infrastructure, and public products such as EngagedLab for universities, institutions, researchers, and education teams.
- Researcher tools and workflow systems
- Pilot delivery and intervention infrastructure
- Learning analytics and evidence systems
- Product R&D and public platforms
Analytics systems
Evidence-ready event capture, reporting, and decision support that turn activity into usable insight.
Product portfolio
EngagedLab is one product inside a wider EdTechLab model built to support repeated use, iteration, and future portfolio growth.
Research is a major capability, not the whole company
New
Sky
ยท Active-education baseline OS for UK HE
Research focus
Experiment delivery
Researcher workflows
Learning analytics
Participant operations
Evidence systems
Responsible AI
Institution-ready design
EngagedLab
Experiment delivery
Researcher workflows
Learning analytics
Participant operations
Evidence systems
Responsible AI
Institution-ready design
EngagedLab
What we do
Five connected capabilities shape how EdTechLab works across research support, delivery, and product building.
We combine research-aware product thinking, careful engineering, analytics design, and operational clarity so teams can move from important questions to usable systems and products.
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01 · Researcher tooling
Workflow systems that reduce coordination overhead around study setup and evidence capture.
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02 · Experiment infrastructure
Digital environments where pilots, prototypes, and research-led programmes can run with discipline.
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03 · Learning analytics
Event models, pipelines and dashboards that make findings easier to trust and act on.
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04 · Responsible AI
AI applied where it improves clarity, speed and quality while keeping oversight and judgment in place.
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05 · Product R&D
Repeated operational and educational problems become products like EngagedLab, intle and Sky.
Principles, not promises
We do not promise guaranteed outcomes. We commit to disciplined design and honest scoping.
Research is complex, institutions are different, and technology is only one layer of the outcome. What EdTechLab commits to is research-aware engineering, transparent communication, careful analytics design, and delivery choices that make future evaluation easier rather than harder.
What we will do
Scope clearly, describe tradeoffs honestly, and build around the operational reality of the team using the system.
What we will not do
Hide uncertainty behind inflated language, overstate deployment maturity, or claim evidence that does not yet exist.
Company model
A lab platform with products inside it
EdTechLab is the parent company and operating platform. Research support, analytics, workflow systems, pilots, and product development all sit inside that structure. EngagedLab is the first public product, not the whole company.
Research support is one major strand
Research-aware delivery matters, but it sits alongside products, analytics, workflow systems, and institution-facing implementation.
Analytics that support decisions
Research teams need evidence systems that reveal signal, protect context, and support interpretation rather than defaulting to coarse reporting.
Workflow support and delivery systems
Good tooling helps teams spend less time chasing process and more time on outcomes, implementation, and measurable improvement.
A portfolio built from real problems
EdTechLab is structured to turn repeated research and operational needs into reusable products and platforms when the problem justifies it.
Who we support
Built for researchers and organisations working with structured education technology programmes.
We are most useful where learning context, experimental rigor, analytics quality, and product usability all need to hold together.
Universities
Research centres, digital learning teams, and institutional programmes that need better tools around pilots, evaluation, or product innovation.
Institutions
Organisations improving education-facing services, research operations, or evidence workflows without settling for generic software patterns.
Researchers
People who need technology that improves data quality, lowers operational friction, and supports better experiments and analysis.
Research teams
Cross-functional groups running studies, pilots, or innovation work that need better coordination, clearer analytics, and more usable digital support.
Audience-specific view
Different institutional buyers need different evidence, constraints, and entry points.
The same EdTechLab offer looks different depending on whether you are protecting institutional standards, delivering a study, running a pilot, or evaluating EngagedLab as a product.
Research-ready infrastructure without enterprise-vendor sprawl.
Review the audience pageA route from pilot to platform before large procurement decisions.
Review the audience pageBetter coordination, clearer analytics, and usable digital support.
Review the audience pageTechnology shaped around study design, not generic platform defaults.
Review the audience pageWhy EdTechLab
EdTechLab brings lab thinking, product discipline, and implementation quality into the same company.
We work close to the problem, careful with evidence, and deliberate about what becomes a system, a workflow improvement, or a product.
Rigour as a design requirement
Data structure, experimental quality, and operational constraints are addressed in the design phase rather than patched in after launch.
Designed for adoption
Research tooling only creates value when people can trust it, understand it, and fit it into existing workflows.
AI and automation, applied responsibly
We use AI where it improves clarity, workflow speed, or support quality without eroding oversight, context, or research judgment.
Designed for longevity
Systems are designed to grow with a research programme, handling new requirements without structural rework.
Company FAQ
Questions partners, institutions, and teams usually ask first.
Is EdTechLab mainly a research company?
Research support is a major part of what we do, but not the whole company. EdTechLab also works across analytics systems, pilot infrastructure, workflow tooling, responsible AI support, and product development.
Who leads EdTechLab?
EdTechLab is led by founder Sara Jasouli.
How does EngagedLab fit into the company?
EngagedLab is the first public product in the EdTechLab portfolio. It sits inside the wider lab, alongside capability work in workflow systems, analytics, and education technology infrastructure.
Is EngagedLab available now?
Yes. EngagedLab has a live public product site, and the EdTechLab website now includes a walkthrough video, screenshots, and an internal case study showing the current creation and export flow.
What stage is the company at?
EdTechLab operates as an independent education technology lab with a live public website, published Lab Notes, and a public EngagedLab product presence.
What kinds of systems do you build?
We work on researcher tooling, study workflows, experiment platforms, analytics systems, reporting layers, delivery environments, and product platforms designed for educational use in research and institutional settings.
Can you work with existing institutional workflows?
Yes. A common part of the work is fitting new capability into real operational contexts instead of forcing a team to start again from a blank slate.
Lab case study
EngagedLab turns static source material into a structured interactive lab workflow.
The current EngagedLab case study documents a visible create-to-preview/export path: source upload, generated lab structure, student preview, SCORM export, and a Blackboard-oriented handoff workflow.
Demo pace
~30 sec
Current create-to-preview/export walkthrough.
Workflow
8 steps
Visible in the walkthrough overlays from generation to live preview.
Delivery path
SCORM + LMS
SCORM 1.2, SCORM 2004, and Blackboard-oriented setup are visible today.
Research frame
The case-study framing is grounded in high-impact active-learning literature and current analytics guidance. The product is being shaped around a simple standard: make interaction easier to build, easier to preview, and easier to move into institutional delivery than a passive upload-only workflow.
See the full evidence and referencesFrom Lab Notes
Three notes, one evidence lens for education technology decisions.
Evaluate
Infrastructure readiness.
Model
Analytics quality.
Design
Product adoption paths.
Featured article
11 March 2026
Saad Saihi
Evaluating Digital Infrastructure for Education Research
A practical evaluation framework for teams reviewing study-design fit, evidence quality, governance, accessibility, and interoperability before treating a platform as ready.
Key idea
Review the event model, governance, and operational fit underneath the demo.
Use case
Useful for digital teams, procurement review, and infrastructure decisions.
Product-quality design
Why Research Tools Need Product-Quality Design
Why usability and accessibility change evidence quality in research settings.
Analytics architecture
What Researchers Lose When Analytics Is an Afterthought
Why late analytics design makes data harder to trust, compare, and govern.
Next step
Need stronger tools, better delivery systems, clearer analytics, or a product path in education technology?
We welcome thoughtful conversations about workflow systems, pilots, analytics, institutional implementation, EngagedLab, and broader education technology innovation.