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+{{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%>
+**Quick Reply:** RTI for Activists & NGOs — Module 01: Campaign-scale RTI design. Design RTI campaigns that produce statewide or national-scale evidence.
+</WRAP>
+<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}}