One platform to understand impact across your constituency
TSiMP brings public mood, governance delivery and political movement into a single, structured view — aggregate, evidence-based and easy to act on.
What TSiMP gives your team
Every capability works at the aggregate level — constituency, mandal, village and booth cluster. No individual voter data is ever used or shown.
Constituency intelligence
A structured, aggregate view of how your constituency is moving — by mandal, village and booth cluster.
Village-level maps
Political impact shown visually across villages and mandals, so patterns are easy to see and act on.
Booth-level summaries
Aggregate booth-cluster summaries — never individual voter data.
Public mood indicators
Where people are satisfied, where concern is rising, and where attention is needed.
MLA impact analysis
How an MLA’s work, communication and image are landing with the public.
MP impact analysis
Parliamentary-level delivery and perception across assembly segments.
Local leader influence
How local leaders are helping or quietly damaging the main leader.
Opposition activity visibility
A clear view of opposition movement and the issues they are owning.
Manifesto and scheme impact
Whether promises and schemes are visible and felt on the ground.
Weekly and custom reports
A regular governance mirror plus deep reports prepared on request.
A clear flow from ground signals to decisions
Public & governance signals
Publicly available information, field inputs, governance indicators and verified source references.
Aggregate structuring
Organised into constituency, mandal, village and booth-cluster summaries.
Visual intelligence
Village-level maps, mood indicators and issue mapping.
Decision-ready reports
Clear, confidential reports with evidence grading.
TSiMP reports are based on publicly available information, field inputs, governance indicators, public feedback signals and verified source references.
Evidence-based, aggregate by design
All analysis stays at the aggregate level — constituency, mandal, village, booth-cluster, community segment, profession segment and age-group. TSiMP does not profile, score or target individual voters, and never uses caste or religion to target individuals.
The TSiMP Intelligence Engine
Behind every report is a structured engine that turns verified public sources and field inputs into a multi-layer credibility read — all at the aggregate level.
Source registry
A categorized registry of official, party, leader, news, social and field sources — each with a reliability rating and evidence weight.
Evidence-based scoring
A credibility index built from 17 dimensions, with trend and evidence level on every score. Allegations are graded, never asserted.
Manifesto tracking
Promise-by-promise status, responsible authority and public visibility — turning manifestos into measurable delivery.
Scheme delivery monitoring
Eligible-vs-reached delivery and local-leakage risk, so gaps on the ground are visible.
Public mood signals
Aggregate mood by village, booth cluster and community / profession / age segment.
Leadership correction reports
Most-damaging vs fastest-recoverable issues, with a 90-day correction plan.
The engine reads through a data-source interface, so it runs on sample data today and on a managed PostgreSQL database (Prisma / Drizzle / Supabase / DigitalOcean) as verified sources are connected.
Every issue is mapped to the groups it actually affects
A news item does not affect all people equally. TSiMP maps each issue to the public groups it touches — by age, occupation, welfare dependency, location and community segment — before it contributes to any leader or government impact score.
Teacher recruitment delay
Affects unemployed youth, teacher aspirants, students, government employees — not a blanket constituency issue.
Pension delay
Affects senior citizens, pension & welfare beneficiaries — not youth or students.
Farmer loan-waiver delay
Affects farmers, tenant farmers, agricultural labour — high in rural mandals, lower in urban wards.
Impact is scored by severity × demographic relevance × constituency demographic weight × evidence × geography × recency, then assigned a political-responsibility transfer (central / state / CM / MLA / MP / local body / local leaders). Everything stays aggregate group-level — TSiMP never profiles or targets individual voters.
Multi-Dimensional Political Influence Engine
DIIE identifies the groups an issue affects. MPIE measures how politically influential that issue is — so a small pension delay flagged as high-anger can outrank a large but low-salience works project.
Importance & dependency
How much the affected group depends on the issue (e.g. pension/ration = very high).
Persistence & visibility
How long it has festered and how widely it is seen (village → state).
Media amplification
Local/district/regional/viral coverage and protests.
Electoral sensitivity & timing
Students before exams, farmers before harvest, election proximity.
Narrative & opposition
Who owns the story and how hard the opposition is pushing it.
Anger / satisfaction intensity
How strongly people feel — not just whether they are affected.
DIIE and MPIE combine — Final Political Impact = demographic impact × political influence × evidence confidence — to show which issues need immediate attention, which can be recovered, and which may become election narratives. All analysis remains aggregate-level only; TSiMP never profiles or targets individual voters.
Request a Confidential Constituency Impact Report
Every constituency is different. Tell us the leader, area and timeline — we prepare the report and share it only with you.