El pilar de evidencia
Investigación de preparación para la IA
La capacidad de las máquinas se mide cada semana. La preparación humana casi nunca. Este pilar mide qué tan lista está la gente de la India para la era de la IA, y publica solo lo que los datos merecen.
Cinco lentes, tres niveles
La preparación es distinta para cada grupo — medimos cada uno en sus propios términos, en ciudades de nivel 1, 2 y 3.
Working Professionals
Career exposure, adoption depth, learning behaviour, willingness to act — the wedge audience, measured quarterly through Playium.
Students
Skill priorities vs. employer reality, college readiness, the year-1 to final-year confidence curve.
Parents
The analytical-thinking concern, rules at home, spending willingness — the healthy-adoption question, in parents' own words.
Teachers
The influencers of tier-2/3 adoption: classroom reality, guidance gaps, what support schools actually need.
Schools
Institutional readiness: policy, curriculum, teacher training — the difference between banning AI and teaching judgment.
Panel de investigación
El estado honesto de nuestros datos. Un panel vacío no es una vergüenza — es la prueba de que nada aquí es inventado.
National survey — wave 1
CollectingThree tracks open. Target: 100+ responses per segment before any finding is published.
Published findings
None yet — by designZero findings are live because zero samples are complete. The first brief ships with its methodology and raw N.
India AI Readiness Index
In designDimensions and scoring are being locked in public before the first datapoint lands.
Informes de investigación planificados
Anunciados ahora para que nos exijas cumplirlos. Cada uno se publica solo con una muestra real.
- Planificado
Will AI take my job? — what 100+ professionals actually said
Wave-1 professional track: anxiety vs. adoption vs. action, by tier.
- Planificado
The classroom question — parents, teachers and healthy AI
The analytical-thinking concern measured, and what homes and schools are actually doing.
- Planificado
India AI Readiness Index — first edition
The flagship instrument, published when every segment clears its minimum sample.
Metodología, antes que números
Consent-first collection
Anonymous by default; contact details optional and deletable. Google Forms is the wave-1 collector — zero ops, field-team friendly — with a native pipeline planned once volume justifies it.
Honest samples or nothing
100+ responses per segment before a finding is published. Every chart ships with its N, its wording and its collection window.
Research feeds the platform
Findings calibrate Playium's assessment, shape MANAM's sessions, and decide which product surfaces open next. Data has a job here — it is never decoration.