Citizen intelligence for policy · a venture of AI Native Organisations
Buyer brief · one page
What a district actually thinks — with the evidence attached.
JanPulse interviews residents in their own language, maps where opinion groups agree and where
they split, and writes a brief in which every factual sentence is tied to the respondent evidence
behind it and machine-checked before delivery. It is built for policy buyers who have to defend
a finding in public, not just circulate a report.
What you receive
A map, not an average. Opinion groups, the statements that bridge all of them, and
the statements that divide them.
Confidence on every figure. Agreement rates carry a credible interval, sample size
and the group-level breakdown — no bare percentages.
A cited brief. Every factual clause carries one to five evidence references, and a
checker recomputes every number.
A coverage report first. What your question set already has an answer to, how old
that evidence is, and what genuinely needs fieldwork.
A reproducibility record. Snapshot, run, codebook and instrument versions, so a
reviewer or auditor can re-derive the result.
A consent register. Who agreed to what, per respondent, including whether their words
may be quoted or reused.
What it costs
Engagement
Indicative fee
Time
What it covers
Coverage diagnostic
₹1.5–2.5 lakh
2 weeks
Your question set run against the existing corpus and public data: what is already answered,
what is stale, what fresh fieldwork is required, and a costed fieldwork plan.
Single study
₹3–15 lakh
6–8 weeks
Instrument design, fieldwork management in one or more languages, opinion map, cited brief,
methods annex. Fee varies with sample size, districts and languages.
Multi-wave programme
₹12–20 lakh / year
3–4 waves
Repeated waves with matched cohorts, trend analysis, and a subscription to query your own
corpus between waves.
API / assistant access
₹75k–1.5 lakh / yr
from week 2
Your analysts query the corpus through their own AI tools; answers return with citations.
Metered at roughly ₹2,500 per 1,000 queries.
Indicative fees for discussion, not a quotation. Fieldwork costs — respondent incentives, enumerator
time, translation — are billed at cost with the invoices attached. Fees are per defensible report,
never per interview: we are not selling volume, we are selling a finding you can stand behind.
The avoidable cost we remove first is duplicate fieldwork — in the demonstration corpus roughly half
of a proposed twelve-question instrument already had prior evidence, some of it stale.
How the evidence is checked
2,031
participants in the public conversation our method was demonstrated on
896
statements clustered into groups, bridging and divisive
3 of 3
planted errors caught by the citation checker (consent, numbers, causal claim)
Method demonstrated on the Bowling Green conversation released as open data by the Computational
Democracy Project (CC BY 4.0), 226,148 votes. A public dataset, not a JanPulse client study.
What we do not claim
Not a random sample. Respondents are recruited through partner communities and opt in.
Every report names the sampling frame and where it may not generalise.
No map below the floor. Under roughly 30 respondents per group we report that no stable
group structure exists instead of drawing one. Small groups are suppressed, not merged away.
No invented figures. Numbers in a brief are copied from evidence units and recomputed by
code. Where a scorer has no measured accuracy, claims resting on it are labelled thin.
No synthetic people. Synthetic data is used only to demonstrate interfaces, and always
labelled as such.
Consent, then erasure. Consent is captured per respondent — quoting and reuse included —
re-checked at the point of use, and erasure is honoured with a receipt. Respondents are
pseudonymous and their answers are held apart from contact details.
Next step
One question set, two weeks, ₹1.5–2.5 lakh: what is already known, what is missing, what a full study
would cost. If the diagnostic does not change your fieldwork plan, do not commission the study.