Die Evidenz-Säule
KI-Readiness- Forschung
Maschinenfähigkeit wird jede Woche gemessen. Menschliche Bereitschaft fast nirgends. Diese Säule misst, wie bereit Indiens Menschen für das KI-Zeitalter wirklich sind — und veröffentlicht nur, was die Daten hergeben.
Fünf Perspektiven, drei Ebenen
Bereitschaft sieht für jede Gruppe anders aus — wir messen jede einzeln, über Tier-1-, -2- und -3-Städte hinweg.
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.
Forschungs-Dashboard
Der ehrliche Stand unserer Daten. Ein leeres Dashboard ist keine Blöße — es ist der Beweis, dass hier nichts erfunden ist.
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.
Geplante Forschungsberichte
Jetzt angekündigt, damit man uns daran messen kann. Veröffentlichung nur mit echter Stichprobe.
- Geplant
Will AI take my job? — what 100+ professionals actually said
Wave-1 professional track: anxiety vs. adoption vs. action, by tier.
- Geplant
The classroom question — parents, teachers and healthy AI
The analytical-thinking concern measured, and what homes and schools are actually doing.
- Geplant
India AI Readiness Index — first edition
The flagship instrument, published when every segment clears its minimum sample.
Methodik vor Zahlen
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.