Module 01 — Campaign-scale RTI design

anonymous@undisclosed.example.com (Anonymous) — Fri, 24 Apr 2026 20:07:45 +0000

2026/05/03 10:18	current
Line 1:	Line 1:
	+	{{htmlmetatags>metatag-keywords=(activists module 01, campaign-scale rti design)&metatag-description=(RTI for Activists & NGOs — Module 01: Campaign-scale RTI design. Design RTI campaigns that produce statewide or national-scale evidence.)}}
	+
	+	====== Module 01 — Campaign-scale RTI design ======
	+
	+	{{ :social:auto:activists-module-01.png?direct&1200 \|RTI for Activists & NGOs Module 01}}
	+
	+	<WRAP center round info 95%>
	+	Goal: Design RTI campaigns that produce statewide or national-scale evidence.
	+	</WRAP>
	+
	+	===== When one RTI isn't enough =====
	+
	+	Single RTI = one data point. Multi-RTI campaigns = pattern. To prove systemic problems (not isolated incidents), you need: same questions, same period, scaled across geographies / departments / years.
	+
	+	Examples:
	+	- 'PMAY housing allotment irregularities' — needs 50+ district RTIs
	+	- 'Mid-day meal scheme leakage' — needs 100+ school + 30+ DEO RTIs
	+	- 'CAG audit follow-up' — needs ministry + state-cell RTIs
	+
	+	===== The 4-axis grid =====
	+
	+	Design every campaign on 4 axes:
	+	- Geographic axis: districts/states (X RTIs)
	+	- Time axis: years (FY 2020-21 to 2025-26 = 6 years)
	+	- Department axis: cross-cutting (revenue + welfare + audit)
	+	- Question axis: identical sub-questions across all RTIs (so responses can be tabulated)
	+
	+	A tight 4-axis grid produces a publication-ready dataset on receipt.
	+
	+	===== Identical-question rigor =====
	+
	+	For tabulation to work, every RTI must have literally identical sub-questions:
	+
	+	- (a) Number of beneficiaries enrolled in [scheme] in FY [year], your district.
	+	- (b) Number of beneficiaries who received the FIRST instalment.
	+	- (c) Number who received the SECOND.
	+	- (d) Total funds disbursed (₹ lakh).
	+	- (e) Number of complaints received about non-disbursal.
	+	- (f) Number of complaints resolved.
	+
	+	If any RTI varies the question, that data point drops out of the analysis.
	+
	+	===== Volunteer-scale logistics =====
	+
	+	For a 100+ RTI campaign:
	+	- Use a central spreadsheet with columns: state, district, PIO, ref no., filing date, response status, response excerpt.
	+	- Recruit state coordinators to file from local addresses (some states require local addresses).
	+	- Pre-stamp + pre-address envelopes at one central location, then ship to volunteers.
	+	- Consolidated First Appeal pack ready when ~30% of RTIs return refusals.
	+
	+	===== Pattern recognition =====
	+
	+	Once 60-70% of RTIs return:
	+	- Compare similar districts for variance — large variance = local irregularity worth investigating.
	+	- Compare year-on-year within a district — sudden change = signal.
	+	- Compute disclosure rate by state/department — low disclosure rate = system opacity (a story in itself).
	+	- Identify outliers: 1-2 PIOs who give exemplary responses (use as 'compliance benchmark' in your report).
	+
	+	===== ✅ Quiz =====
	+
	+	Quiz available from your [[:courses:activists:app\|course dashboard]].
	+
	+	===== Next =====
	+
	+	* [[:courses:activists:start\|← Course overview]]
	+	* Next: [[:courses:activists:final]]
	+
	+	//Last reviewed: 24 April 2026.//
	+
	+	{{tag>course activists module-01}}

Right to Information Wiki

Module 01 — Campaign-scale RTI design