GYANIS.AI
Improving Vibe teacher activation
Turning product signals and user research into a practical onboarding intervention.
Product Marketing Associate · Jan 2026 – Sep 2026
Product Discovery · Product Analytics · User Research · Activation · GTM · AI Product Work
Vibe — connects students with teachers for one-to-one academic support.
Aura — linking students to psychologists and mental health experts.
Flow — learning and education-management platform for students, teachers and institutions.
My role sat across product, users, data and GTM, collaborating with product, engineering, sales and operations.
At a glance
169
users spoken to
13
schools visited
₹50K
Meta campaign spend
3
schools agreed to test/evaluate Flow
400
user conversions
The Product
The Problem
Users were signing up for Vibe, but many were not completing teacher onboarding.
Sign up
Complete profile
Verification
Ready to teach
Admin-panel signals showed a gap between signup and onboarding completion.
What I Found
Users were facing difficulty in "what to do next" , "what are these terminologies".
Users were interested enough to sign up, but the onboarding experience created friction before activation.
The Insight
The problem wasn't lack of interest. Users were interested enough to sign up, but the onboarding experience created friction before activation. Data showed me where to look. User conversations helped explain why.
The Decision
Balancing the ideal fix with an immediate intervention.
Immediate: Give incoming users a self-serve explanation while the underlying UX issues were being addressed.
The ideal product fix would take time while users experienced friction immediately.
Long-term: Simplify the onboarding experience.
Created a 'How to register as a teacher on Vibe' walkthrough and shared it with incoming users while the underlying onboarding issues were being addressed.
User signs up
Gets guidance
Completes onboarding
Becomes ready to teach
What I Did
Impact
This intervention led to three key shifts:
Reduced recurring onboarding questions.
Established a user → feedback → product/GTM loop.
Acquisition was treated as an opportunity for activation, not a guarantee of activation.
Beyond the Featured Case
Aura — WorkflowÂ
Flow — School GTM
User conversations surfaced concerns around a high-risk situation/escalation workflow. The observation was escalated to management and senior psychologists were brought into the discussion to review the workflow.
Researched AI acceptance, school receptiveness, curriculum environment, accessibility and existing connections. Research contributed to Chandigarh becoming an initial focus. Visited 13 schools; 3 agreed to test/evaluate Flow.
Lifecycle journeys
AI curriculum work
Set up behavior-based email journeys using Brevo/SendGrid, with different follow-ups based on whether users opened emails or acted.
Researched and structured curriculum sources, reviewed AI-generated outputs against sources, and reported issues.