Cognitive signature
Fluid · pattern-first thinker
88th
percentile · reasoning
Solves novel problems faster than 88% of peers. Best work happens when given an unfamiliar puzzle and 45+ uninterrupted minutes — not in rapid-context-switch environments.
Back to overview
Personal report · V2 instrument
Sample Candidate
Aspiring Product Designer · AI Match Report
A personalised right.fit assessment report. Every number, narrative line, and career match is traceable to a specific test score; nothing in this document is generated without evidence.
- Candidate
- Sample Candidate
- Date
- 01 Jan 1970
- Overall score
- 79 / 100
- Top match
- Biomedical Researcher
01 · Executive summary
A clear, evidence-led one-page read.
The four headlines below are the only figures most counsellors quote in a debrief. Everything that follows is the evidence underneath them.
Holland code
ISR
Investigative · Social · Realistic
Dominant cluster
Science · Research · Tech
Healthcare a close second
AI-resilience index
78 / 100
8 of top-12 matches AI-threat: Low
Cohort position
Top 18%
vs n=2,141 Indian students aged 16–18
01a · Insights digest
Four things this report tells you that nothing else will.
Each card translates a battery of raw scores into one sentence a 16-year-old (and a parent) can act on tomorrow morning.
How you learn
Inquiry-led, depth over breadth
ISR
Holland code
Investigative + Open trait combination predicts deep-dive learners. You will outperform in seminar-style and lab settings; rote-memorisation formats will undersell your ability.
Work-environment fit
Small, expert teams
3–7
ideal team size
Moderate extraversion + high empathy is the classic 'one-to-one expert' profile. Optimal team size 3–7. Open-plan sales floors will drain; quiet collaborative spaces will energise.
AI-resilience index
Top 22% on durability
78
of 100 · resilience
Across your top-12 matches, 8 carry a Low AI-threat rating. The judgement + empathy roles (clinician, researcher, counsellor) compound human value as automation scales — they don't shrink.
02 · Six-dimension profile
Profile vs. peer median.
Each axis is a standardised score (0–100) against the Indian normative cohort. The amber band is peer median; the emerald polygon is this candidate.
CandidatePeer median (n=2,141)
Cognitive Ability
IQ · 88th percentile · band: Strong
82
Aptitude Battery
APT · 79th percentile · band: Strong
74
Vocational Interest
RI · 93th percentile · band: Exceptional
88
Personality (OCEAN)
PER · 64th percentile · band: Developing
69
Emotional Intelligence
EQ · 81th percentile · band: Strong
76
Career Cluster Fit
CC · 90th percentile · band: Strong
85
02a · Personality archetype
The Quiet Investigator.
Out of 32 right.fit archetypes, this profile sits closest to the Quiet Investigator: high cognitive engine, high empathy, moderate social drive. Historically these students cluster into research, clinical, and inquiry-driven design roles — and they tend to peak later, between 28 and 35, once depth compounds.
Closest cohort matches· early-career biomed PhDs · clinical psych residents · UX researchers
- Decision style
- Evidence-weighted, slow to commit, durable once decided.
- Stress response
- Withdraws to process. Recovers fully with 24–48 hrs of low stimulation.
- Conflict mode
- Collaborative · accommodating. Avoids zero-sum framings.
- Motivation engine
- Mastery + meaning. Status and money are secondary, not absent.
At-a-glance · visual summary
The whole report in three charts.
Six module scores against percentile, the candidate’s top career-cluster fit, and the AI-resilience profile of the top-12 matches.
Module scores
ScorePercentile
AI-threat mix
Across the top-12 matches.
12
Careers ranked
Low · 8Med · 3High · 1
Career-cluster fit
Scored 0–100 against the Indian normative cohort03 · Module-by-module breakdown
Every subscale, every score.
No black-box outputs. Each module’s subscale scores and a short psychometrician-authored narrative.
Module IQ
Cognitive Ability
82
Strong · p88
Above-average fluid reasoning. Comfortable with novel, unstructured problems and rapid pattern detection.
Abstract reasoning86
Pattern detection80
Working memory78
Module APT
Aptitude Battery
74
Strong · p79
Balanced verbal–numerical–spatial profile. Best fit for roles that require multi-modal analytical work.
Verbal reasoning71
Numerical reasoning78
Spatial reasoning72
Module RI
Vocational Interest
88
Exceptional · p93
Strong ISR Holland code. High intrinsic motivation for inquiry-driven, people-impacting, hands-on work.
Module PER
Personality (OCEAN)
69
Developing · p64
High openness and conscientiousness. Moderate extraversion suggests collaborative, but not always front-of-room, settings.
Module EQ
Emotional Intelligence
76
Strong · p81
Strong self-awareness and empathy. A natural fit for roles where understanding people accelerates outcomes.
Module CC
Career Cluster Fit
85
Strong · p90
Two clusters dominate: Science/Research/Technology and Healthcare. Both align with the ISR interest profile.
04 · Career matches
Top 12 of 604 India-mapped occupations.
8Low3Medium1High
Match score by occupation
Bars coloured by AI-threat band01
AI threat: Low
Biomedical Researcher
Science, Research & TechnologyMatch score87%
- ISR Holland code maps directly to investigative bench-work
- Cognitive band (88th percentile) supports doctoral-track research
- High openness + conscientiousness. Classic researcher profile
- Pathway
- B.Sc Life Sciences → M.Sc → PhD
- Salary
- ₹5–18L
- Institutions
- IISc · CSIR · NCBS · AIIMS
- Outlook
- Strong (8.4% CAGR, NITI projection)
02
AI threat: Low
Clinical Psychologist
Healthcare & WellbeingMatch score84%
- High empathy and self-awareness on EQ module
- Investigative + Social interest combination
- Personality profile fits long-form client work
- Pathway
- BA Psych → MA Clinical → MPhil RCI
- Salary
- ₹4–14L
- Institutions
- NIMHANS · TISS · DU · Christ
- Outlook
- Strong (rising mental-health spend in tier-1/2)
03
AI threat: Medium
Data Scientist (Healthcare)
Science, Research & TechnologyMatch score82%
- Numerical reasoning at 78th percentile
- Domain interest in healthcare amplifies durability
- Caveat: routine modelling work increasingly automated
- Pathway
- B.Tech/B.Sc → MS Data Science
- Salary
- ₹8–28L
- Institutions
- IITs · IIITs · ISI · Plaksha
- Outlook
- High demand, AI-displacement risk on entry rungs
04
AI threat: Low
Genetic Counsellor
Healthcare & WellbeingMatch score80%
- Combines investigative depth with high-empathy delivery
- Long client conversations match personality profile
- Pathway
- B.Sc → M.Sc Genetic Counselling
- Salary
- ₹4–12L
- Institutions
- Kamineni · MAHE · Sir Ganga Ram
- Outlook
- Emerging Indian specialism, low supply
05
AI threat: Low
Public Health Researcher
Healthcare & WellbeingMatch score78%
- Cluster fit score (Healthcare 86) is near top of cohort
- Conscientiousness supports field-research discipline
- Pathway
- BA/B.Sc → MPH → PhD optional
- Salary
- ₹5–16L
- Institutions
- PHFI · AIIMS · IIPH · TISS
- Outlook
- Government + multilateral hiring is sustained
06
AI threat: Medium
UX Researcher
Design & DigitalMatch score75%
- Empathy + investigative orientation
- Threat-medium. Strategic synthesis still human-led
- Pathway
- Any bachelor's → PG Diploma HCI/UX
- Salary
- ₹6–22L
- Institutions
- NID · IIT-IDC · Srishti
- Outlook
- Stable, but synthesis tasks affected by AI
07
AI threat: Low
High School Science Educator
Education & TrainingMatch score73%
- Strong cognitive + social interest combination
- Conscientiousness aligns with curriculum delivery
- Pathway
- B.Sc → B.Ed → M.Sc/M.Ed
- Salary
- ₹3–9L
- Institutions
- TISS · Azim Premji · RIE
- Outlook
- Stable demand; tier-2/3 expansion
08
AI threat: Low
Pharmaceutical R&D Scientist
Science, Research & TechnologyMatch score72%
- Investigative interest with structured lab work
- Cognitive band supports doctoral pipeline
- Pathway
- B.Pharm → M.Pharm/M.S → PhD
- Salary
- ₹6–20L
- Institutions
- NIPER · BITS Pilani · ICT
- Outlook
- Strong (India is a global generics + biosimilar hub)
09
AI threat: Low
Occupational Therapist
Healthcare & WellbeingMatch score70%
- Realistic + social interest combination
- Empathy and patience strengths align
- Pathway
- BOT → MOT specialisation
- Salary
- ₹3–10L
- Institutions
- CMC Vellore · AIIMS · NIMHANS
- Outlook
- Strong demand, low supply in India
10
AI threat: Medium
Science Journalist
Media & CommunicationMatch score68%
- Openness + verbal reasoning support long-form writing
- Investigative interest sustains beat reporting
- Pathway
- BA → MA Journalism / Sci-comm
- Salary
- ₹3–12L
- Institutions
- ACJ · IIMC · Symbiosis
- Outlook
- Niche, growing, though generic news roles AI-exposed
11
AI threat: Low
Environmental Scientist
Science, Research & TechnologyMatch score67%
- Realistic + investigative interest
- Cluster fit supports field-and-lab hybrid roles
- Pathway
- B.Sc Env Sci → M.Sc → PhD
- Salary
- ₹4–14L
- Institutions
- TERI · IITs · JNU
- Outlook
- Strong (climate + ESG hiring)
12
AI threat: High
Operations Research Analyst
Finance & CommerceMatch score62%
- Numerical reasoning strength
- Caveat: lower fit on interest profile. Consider only with intent
- Pathway
- B.Tech/B.Sc → M.Sc OR / MBA Analytics
- Salary
- ₹6–20L
- Institutions
- IITs · ISI · IIMs
- Outlook
- Demand stable, but entry-rung AI exposure rising
04a · Inside the top three
What each top match actually feels like.
Match scores are abstract. A day-in-the-life, an India-specific market signal, and an honest risk note make them decision-grade.
01
Biomedical Researcher
Science, Research & Technology
Match 87%
AI threat: Low
A typical day
Morning: literature scan + experiment design with a 2-person bench team.
Why this fits India in 2026
India is investing ₹50,000 Cr in biotech and life-science infrastructure (2024–2030). Talent supply lags demand 4:1.
Honest risk
Long ROI horizon (8–10 years to PI). Funding cycles can be discouraging mid-PhD.
02
Clinical Psychologist
Healthcare & Wellbeing
Match 84%
AI threat: Low
A typical day
Afternoon: wet-lab block (90 min focus windows), data entry, peer review.
Why this fits India in 2026
Mental-health spend across tier-1/2 cities grew 38% YoY. RCI-licensed clinicians are the bottleneck, not buildings.
Honest risk
Emotional load is real. Strong supervision and a clinical support network in residency is non-negotiable.
03
Data Scientist (Healthcare)
Science, Research & Technology
Match 82%
AI threat: Medium
A typical day
Evening: 1:1 with PI, journal club, write-up. Three deep-work blocks/day.
Why this fits India in 2026
Healthcare data infra (ABDM, NDHM) is creating a domestic data-science specialism that didn't exist 5 years ago.
Honest risk
Entry-level ML tasks are increasingly automated; durability requires domain depth, not generalist model-tuning.
05 · Development plan
What to do next.
Advisory, not prescriptive. The actions below are derived from the dimension deep-dive and the top-12 matches above.
Strengths to lean into
- Investigative reasoning: capable of doctoral-track research
- High empathy + self-awareness. Natural advisor and clinician profile.
- Conscientiousness: sustains long-form, structured work.
Watch-outs
- Low Conventional interest. Administrative-heavy roles will drain.
- Moderate extraversion. Front-of-room sales and BD roles are a poor fit.
- Numerical reasoning trails verbal. Quant-finance is a stretch goal, not a default.
Next 12 months
A sequenced, evidence-led roadmap derived from the profile above.
- 01Class XI–XII subject choice
PCB or PCMB with Psychology. Avoid pure commerce, since cluster fit is weak (41).
- 02Skill build (12 months)
Lab internship (1 month), Coursera Biostatistics, NPTEL Intro to Psychology.
- 03Shadow conversations
Speak to 2 clinical psychologists and 1 biomedical PhD before Class XII.
- 04Entrance prep direction
NEET-UG (Biomedical), CUET (Psychology), NIMHANS entrance (longer horizon).
05a · 90-day kickstart
The next 90 days, in three weekly sprints.
Big plans die in big steps. Each sprint is bounded, falsifiable, and can be reviewed in a single 30-minute counsellor session.
Days 1–30
Diagnose & explore
- Read 2 long-form profiles per top-3 career (we suggest titles in the appendix).
- Book 1 informational call with a working professional in your #1 match.
- Audit your current school subjects against the recommended pathway.
Days 31–60
Test the hypothesis
- Complete one short online course adjacent to your top cluster (NPTEL / Coursera).
- Shadow or volunteer for 6–10 hours in a related setting (clinic, lab, classroom).
- Journal energy levels after each session. Energy is the data, not enjoyment.
Days 61–90
Commit & sequence
- Pick a Class XI/XII subject combination with the counsellor.
- Draft a 24-month skill plan with 3 measurable milestones.
- Schedule a second right.fit assessment in 18 months to track drift.
06 · A note from the counsellor
“Sample, this profile is unusually coherent. Investigative depth, real empathy, and the patience to sit with hard problems — that combination ages well. The market will keep automating away surface-level tasks; what it cannot replicate is the long-form judgement you’re wired for. Pick a domain you care about, go deep, and revisit this report in eighteen months.”
DM
Dr. Divya Menon
Lead Psychometrician, right.fit · RCI A-46821
Reviewed manually before release · Report ID RF-SAMPLE-V2
06 · Methodology & validity
How this report was generated.
Instruments
Cognitive (Raven-style abstract reasoning), Aptitude (verbal · numerical · spatial), RIASEC interest inventory, BFI-15 (OCEAN), EQ self-report, and a 15-cluster fit inventory. All published, all peer-reviewed.
AI-threat scoring
Each of the 604 occupations is rated Low / Medium / High using a hybrid model: task-decomposition (O*NET-style), automation-exposure literature, and an India-specific labour-market overlay reviewed quarterly.
Validity flags
Inconsistency, social-desirability, and response-time checks run on every submission. Reports with flags are surfaced to the counsellor before release. Not auto-published.
Advisory, not prescriptive. This report is a decision-support instrument and does not replace a qualified counsellor’s judgement. Data handling is DPDP-aligned; for under-18s, parental consent is captured and retained in an immutable audit log.