About What Next AI

Free career counselling built on validated psychometrics and real occupation data — because ₹50,000 for a packaged career report is a barrier most families can't cross, and shouldn't have to.

Why this exists

Traditional career counselling in India sits between three failure modes: expensive packaged services from coaching brands (₹50K+ and often selling their own coaching downstream); free-but-generic aptitude tests that give one-line answers; and well-meaning family conversations that project the parents' regrets onto the child.

The tools to do this well — Holland's RIASEC inventory, the Big-5 personality model, the O*NET occupation database — have existed for decades. They're all validated. Most are free or cheap. What was missing was a platform that combined them properly, framed the output honestly, and didn't gate the substantive answer behind a paywall or a hard sell.

That's what What Next AI is trying to be.

What we do

  • Free psychometric assessments — full 60-item Holland, full BFI-2 Big-5, MBTI, SRQ-A, Vallerand Passion, Schwartz Values, VARK, ICAR. All the standards, not proprietary knockoffs.
  • Free career counselling — Ikigai composite across four axes, three interpretive lenses, real BLS occupation data, honest optionality math.
  • Free resume analysis + essay coaching — AI-powered with proper ATS scoring and prompt-specific feedback.
  • Stage-adaptive framing — a Class 9 student and a mid-career pivoter get materially different reports.
  • India-aware — stream picker (PCM/PCB/Commerce/Arts), JEE/NEET/CUET pathways, NIRF rankings, India-specific salary tiers.

What we don't do

  • We don't sell coaching. If your report says 'take JEE prep', we're not going to recommend a specific coaching institute for a commission.
  • We don't gate the core answer. Free means free — the top-3 careers and full breakdown are always accessible without a credit card.
  • We don't tell you what to be. The tools are designed to inform your decision, not make it for you.
  • We don't sell your data. See our privacy policy.
  • We don't pretend our system is perfect. See our methodology page for exactly which weights are research-backed and which are engineering defaults.

Data sources we build on

  • U.S. Bureau of Labor Statistics — occupation database, salary distributions, growth outlook
  • O*NET — knowledge areas, RIASEC codes, work values, AI exposure scores
  • College Scorecard (US Dept. of Education) — university profiles, admissions, outcomes
  • NIRF (India) — university rankings for Indian institutions
  • Published psychometric instruments (Holland 1997, John/Naumann/Soto 2008 BFI-2, Ryan & Connell 1989 SRQ-A, Vallerand et al. 2003, Schwartz 1992, Condon & Revelle 2014 ICAR)

Get in touch

Questions, corrections, or press enquiries — see the contact page.