Back to Services The #1 Tech Course Designed for Therapists

Applied Product Thinking
For Therapists

Expand your clinical skillset into monetisable product expertise. Gain the structure, language, and leverage to shape how digital products are built.

4.9 (12+ Reviews)
6 Weeks Async

Lead Instructor

Instructor

Harshali

Founder, TinT

What is Applied Product Thinking for Therapists?

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If you are an early career clinician, use EARLYTINT for a discount.

Mental health care is no longer confined to therapy rooms. It now lives inside apps, AI tools, workflows, and interfaces that shape how care is accessed, delivered, and experienced.

Yet most therapists are never trained to evaluate these systems. You use them. You notice their gaps. You sense where they help, and where they harm. But without structure, that insight remains intuitive, informal, and largely invisible to the people building these products.

Applied Product Thinking is a practice oriented course designed to change that.

It teaches you how to translate clinical intuition into structured product critique, so you can analyse digital mental health tools with clarity, confidence, and professional authority.

Our goal is simple: help you turn your clinical insight into a clear, structured, monetisable skill.

Why this matters now

Mental health care is increasingly delivered through software. These products shape disclosure, emotional safety, therapeutic alliance, and continuity of care. The teams building them are typically composed of engineers, designers, and business stakeholders, people trained to optimize usability, engagement, and growth, but not necessarily trained to recognize emotional, ethical, or clinical failure modes.

In traditional software, Quality Assurance (QA) exists to identify risks and break points before they reach users. In mental health products, however, many of the most important risks are subtle and experiential: a workflow that increases shame, an AI response that feels invalidating, or an interface decision that weakens trust. These failures often remain invisible to product teams because they lack clinical training.

Therapists are uniquely positioned to see these risks. But without a shared framework or language, their observations remain intuitive and informal. They are difficult to communicate, difficult to act upon, and therefore often overlooked.

This cohort gives clinical intuition structure. It equips you with the concepts and vocabulary needed to analyse products systematically, articulate risks clearly, and contribute meaningfully to how mental health technology is designed and improved. It allows your clinical insight to move from private observation to professional influence.

What you’ll learn

By the end of the cohort, you will be able to:

  • Analyse product workflows and UX from a clinical perspective
  • Identify harmful pathways, edge cases, and emotional failure modes
  • Understand how design decisions influence user behaviour and outcomes
  • Evaluate AI behaviour in therapeutic contexts
  • Communicate your observations in structured, actionable form

What the cohort looks like

Duration

6 weeks

Format

Weekly modules + applied exercises + playbook for socials + 1x week live discussion

Commitment

4-6 hours per week

Course Syllabus & Schedule

1

Monday of Week 1

  • Module 1 Orientation: Translating Clinical Skills To Product Thinking
  • Socials 1 Set Up Your Socials + Post Framework

Weekly call: Saturday 10am EST / 8:30pm IST

2

Monday of Week 2

  • Module 2 Users, Context, Market, Power
  • Socials 2 Set Up Your Portfolio + Signal Of Value: User Empathy
  • Module 3 Information Architecture & Mental Models
  • Socials 3 Train Your Algorithm + Signal Of Value: Structured Thinking

Weekly call: Saturday 10am EST / 8:30pm IST

3

Monday of Week 3

  • Module 4 Workflows & Tasks
  • Socials 4 Signals Of Value: Interdisciplinary Prowess
  • Module 5 Product Design, UX, UI, Heuristics
  • Socials 5 Signals Of Value: Unique Diffrenciation

Weekly call: Saturday 10am EST / 8:30pm IST

4

Monday of Week 4

  • Module 6 Machine Learning Powered Products & Features
  • Socials 6 Signals Of Value: Rich Experience
  • Module 7 Feature-level Thinking
  • Socials 7 Signals Of Value: Cautious Creativity

Weekly call: Saturday 10am EST / 8:30pm IST

5

Monday of Week 5

  • Module 8 Ethics, Risk, and Second Order Effects
  • Socials 8 Signals Of Value: Strong Roots
  • Module 9 Business Constrains
  • Socials 9 Signal Of Value: Business Mindset

Weekly call: Saturday 10am EST / 8:30pm IST

6

Monday of Week 6 Capstone

  • Module 10 Synthesising A Product Critique
  • Socials 10 Signals Of Value: Leadership
  • Module 11 Capstone: Founder Demo + Your Product Review
  • Socials 11 Signals of Value: Trust

Weekly call: Saturday 10am EST / 8:30pm IST

Who this cohort is for

Practicing Clinicians

Therapists interested in shaping mental health tech and AI, not just passively using it. Drawn to consulting, advisory, or interdisciplinary work. Wanting to expand their professional identity beyond clinical practice.

Researchers & Educators

Curious about mental health innovation, seeking to make their psychology students or lab industry-ready by introducing practical, structured evaluation techniques.

Instructor

Harshali Paralikar

Harshali Paralikar

Founder, TinT

This cohort is designed by a psychologist, a machine learning researcher, and an entrepreneur product builder. Harshali works at the intersection of mental health, product design, and AI — helping therapists develop literacy and influence in the systems shaping their profession.

Alumni Reviews

"The structured approach to evaluating AI in mental health completely changed my perspective. I went from feeling overwhelmed by tech to feeling capable of critiquing it."

A.R.

Clinical Psychologist

"Finally, a course that speaks the language of both tech and therapy. Highly recommended for early career clinicians looking for a competitive edge."

J.M.

Psychotherapist

Free Resources View all

Intro to AI

Introduction to AI-Psychoeducation

Foundational AI awareness for clinicians, addressing critical risks like bias and privacy.

Get Resource
AI Boundaries

AI & Machine Learning for Therapists

A guide explaining what AI is and practical applications and limitations in mental healthcare.

Get Resource
AI Boundaries

AI Boundaries for Psychological Practice

Exploration of ethical guardrails and professional boundaries when integrating AI.

Get Resource

FAQs

I have more questions, who do I contact? Reach us at talktotint@gmail.com