Case study · AI reasoning platform · Multi-vertical

MyGooru

Role
UI Design Lead — end-to-end UX
Timeline
Sep 2024 → present
Team
1 designer (me) · product · engineering
Verticals
Education, Manufacturing, Government, Services, Tech
HERO IMAGE
Cover image — the Companion interface adapting across an education dashboard and a manufacturing shopfloor view
01
Overview

One reasoning engine. Five verticals. A stakeholder-facing layer I own end to end.

MyGooru is built on MAP (MyGooru AI Pathways) — reasoning infrastructure, developed over 13 years, that turns an organization's goals into personalized navigation for the people inside it. The same engine reasons about a student's next lesson, a shopfloor operator's next certification, or a government agency's next procurement step.

The product that reaches people is called the Companion — a role-adaptive interface that surfaces "the next right action" in context, either as a standalone app or embedded via API into an existing system. My job has been to design that stakeholder-facing layer across every vertical it ships in, education first and enterprise verticals since.

Engine
MAP — reasoning infra, 13 yrs development
Reach
110 global projects · 5.3M learners
Verticals
Education, Manufacturing, Government, Services, Tech
Delivery
Standalone app or API embed
Status
Live
02
The problem

Every vertical needed a different job done. The engine underneath stayed the same.

When I picked up the design, the surfaces that used the reasoning engine had drifted from each other — different visual languages, different interaction patterns, no shared vocabulary for showing a user why the system recommended what it did. A teacher's dashboard and a plant manager's dashboard looked like they came from different companies, even though the same belief-and-pathway engine sat underneath both.

The harder problem was translation. The engine reasons in its own vocabulary — beliefs, confidence, pathways. A COO or a shopfloor supervisor doesn't think in that vocabulary. Every surface had to translate the same underlying reasoning into the language of the job the person in front of it was actually doing.

"One reasoning engine, translated into as many honest vocabularies as there are jobs to do."
Design goal I set
03
My role

UI Design Lead across the shared system and every vertical surface.

I own the design system that all Companion surfaces pull from — tokens, layout patterns, the visual language for showing provenance (is this recommendation evidenced by real data, or inherited from a template, or a system hypothesis?) — and I design each vertical's surface on top of it: the K-12 education apps, and the enterprise-facing navigation used in manufacturing, government, and services deployments.

Where the work needs research — teacher workflow validation, plant supervisor interviews, government stakeholder reviews — I run it myself and fold findings back into the shared system, so a pattern learned in one vertical strengthens the others instead of forking them.

04
Approach

Shared design rules, vertical-specific surfaces.

1
Tokens first, screens second
One token layer — color, type, spacing, motion — every vertical surface pulls from. Drift between education and enterprise surfaces becomes structurally impossible, not just discouraged.
2
Show where every claim came from
Recommendations carry a provenance signal — grounded in the organization's own data, inherited from a domain template, or a system hypothesis. Trust follows visibility, whether the user is a teacher or a plant manager.
3
Ambient over app-shaped
MyGooru's own positioning is 'navigation reaches stakeholders in their own context, without requiring them to open the app.' I design toward that: notifications, embedded widgets, and API-delivered surfaces, not just a destination app.
05
Solution — Education

Six stakeholder roles, one design language, real districts using it.

In education, MyGooru serves six roles: learners, instructors, institutional leaders, mentors (parents/guardians), curriculum developers, and IT administrators. The learner experience works like a GPS for mastery — it identifies gaps, delivers personalized resources, and tracks progress. Instructors get intervention timing and productivity tool recommendations; leaders get real-time data to coordinate strategy across schools.

Learner surface
MyGooru Companion
Adaptive learning companion for K-12 students — identifies gaps, delivers personalized resources, tracks progress toward mastery.
Teacher surface
MyGooru Classroom
Widget-based reports that track student data, suggest timely interventions, and recommend productivity tools — built to fit any screen context.
Chat-first teacher
MyGooru Instructor
A reframing of the teacher app around conversation as the primary input, for teachers who'd rather ask than click through tabs.
District leader
MyGooru Insights
Real-time data for leadership to coordinate strategies and scale what's working across every school in a district.
ARTIFACT
Four education surfaces side by side — Companion, Classroom, Instructor, Insights — sharing one design language
Real districts, real outcomes
System
Lammersville Unified School District
Uses MyGooru to align student progress with Local Control Accountability Plan (LCAP) targets.
System
Leadership Public Schools
2.82× national norms in sustained math learning growth.
System
Pupil Saveetha Eco School
20% improvement in teacher productivity through intervention recommendations.
System
Navigator Labs
Deploys the platform across a research and nonprofit network spanning over a dozen global districts.
06
Solution — Enterprise

The same engine, reasoning about a shopfloor, a procurement pipeline, a licensing queue.

The enterprise side of MyGooru takes the same MAP engine and points it at manufacturing competency, government workforce and procurement, and services readiness. The design problem was identical in shape to education: translate a reasoning engine into a vocabulary the person actually doing the job would recognize — an operator, a plant leader, an agency caseworker.

Manufacturing
Tata Electronics
MyGooru deployed across iPhone production lines to bring shopfloor employees to production, quality, and safety competency faster — structured to replicate across additional plants and Tata Group operations.
Manufacturing
Rincell
Battery manufacturing deployment improving operator competency and safety performance, adapting to each operator's specific role on the line.
Government
Barbados — GIGA & MIST
Two integrated deployments: GIGA navigates workforce training for new industrial roles; MIST coordinates supplier onboarding across procurement, finance, and legal to compress vendor integration time.
Government
Tennessee — credentialing pipeline
Guides licensure applicants through prerequisites, documentation, and approvals, surfacing the binding constraint at each stage so the pipeline moves instead of stalling. (This is the same CADRE Portal work — a 60% operational efficiency gain.)
ARTIFACT
Coordinated Leader View — the same pattern shown across a plant manager's competency dashboard and a district leader's accountability dashboard
Behind the scenes
System
Shared token layer
One source of truth exports the same tokens as CSS variables, JSON, and plain-text llms.txt for AI coding tools. Same numbers everywhere, education or enterprise.
System
Belief Network (patented)
MyGooru's calibrated stakeholder-reasoning system — one of three provisional patents underlying MAP, alongside the Polyline Model and Navigation Framework.
System
App or API
Every vertical surface ships either as a branded standalone app (2–4 week launch) or embedded via API directly into a customer's existing system.
07
Outcome

One design language, live across a platform reaching 5.3 million learners and multiple industrial and government deployments.

Global reach
5.3M
Learners reached across 110 global projects over 13 years of platform development
Design drift
Zero
Every vertical surface pulls from the same token layer — education and enterprise render the same button, same spacing, same type
Math growth (LPS)
2.82×
National norms in sustained math learning growth at Leadership Public Schools
One reasoning engine.
As many honest vocabularies as there are jobs to do.

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