Research workflow systems
Study setup, participant operations, team coordination, and support tooling.
Services
Research systems, analytics, and product delivery for education teams.
EdTechLab helps teams move from a research or institutional problem to a working digital service with usable interfaces, trustworthy data, and adoption paths that fit real education environments.
Discovery to prototype
Research question, workflow, data model, and product shape.
Pilot to evidence
Accessible pilots, analytics capture, and review-ready outputs.
A radial services map with EdTechLab delivery at the centre, linked to five connected services: research brief, workflow design, prototype, pilot data, and evidence pack.
Delivery
EdTechLab
01
Research brief
02
Workflow design
03
Prototype
04
Pilot data
05
Evidence pack
Service model
Four connected service lines, one delivery spine.
The work usually combines more than one capability. A pilot platform needs research operations. An analytics project needs event design. AI support needs governance and a clear human workflow. See where this comes together in Sky, our operating system for UK higher education, and across our case studies.
Pilot platforms
Digital surfaces for interventions, prototypes, evaluations, and teaching trials.
Analytics architecture
Event design, data capture, reporting, dashboards, and evidence packs.
Responsible automation
AI-assisted routing, summarisation, feedback, and human oversight patterns.
How collaboration works
A compact path from research question to working system.
Map
Goals, users, data, risk, constraints, and adoption path.
Build
Prototype, integration, accessibility, analytics, and governance.
Prove
Pilot evidence, usability feedback, data quality, and next decision.
Delivery loop
Evidence
spine
01
Discover
02
Prototype
03
Pilot
04
Measure
05
Transfer
Each engagement loops back: evidence from one cycle feeds the next.
The EdTechLab delivery loop runs clockwise through five stages — discover, prototype, pilot, measure, and transfer — each connected by flowing arrows around a central evidence spine, so findings from one cycle inform the next.
Where services fit
Typical starts are messy. The output should not be.
Workflow redesign
Research teams need better tooling around participants, tasks, or handoffs.
Pilot platform
An intervention or evaluation needs a credible digital surface quickly.
Evidence layer
Data exists, but reporting needs to become clear, trusted, and useful.
Product initiative
A research-led idea needs product structure before it becomes durable, as with Sky.
Discuss a product idea