Works without internet, builds complex surveys visually, and imports from every tool you already use.
Forms are cached locally the moment they're assigned. Enumerators collect GPS, photos, and responses even in remote villages with no signal — data syncs automatically and securely the instant a connection returns.
Design complex surveys with 14+ field types, visual AND/OR skip logic, form versioning, and nested repeat groups. What you build is exactly what your enumerators see — no surprises in the field.
Share your study objectives and target population — our AI designs a complete, field-ready form with proper sections, skip logic, field types, sub-questions, and enumerator hints. Complex surveys in 90 seconds.
Import from XLSForm, KoboToolbox, SurveyCTO, or ODK Central with a single upload — your existing forms come in exactly as designed, with all skip logic and field types preserved. No manual re-entry.
Supervisor dashboard, GPS mapping, panel/M&E tracking, live sync, WhatsApp alerts, and Google Sheets — all connected.
Photos, GPS coordinates, and audio sync securely using a two-phase approach — text fields go first on 2G, then media uploads in background batches when bandwidth allows. Auto-compression included.
Review every submission with GPS map view, full audit trail, and photo evidence. Flag suspicious records, assign back-checks, and export any subset as CSV, Stata .dta, or directly to Google Sheets.
MSG91 WABA-powered alerts keep supervisors informed the moment enumerators sync, flag a record, or complete their assignment. Real-time field awareness without any polling.
Connect once and every new submission is automatically appended as a new row to your Google Sheet — in real time, the moment it syncs. Your data is always current without any manual exports.
Every response carries GPS coordinates, plotted in real time on an interactive map inside the supervisor dashboard. Cluster markers by district, filter by enumerator or date, and draw geofence boundaries to catch submissions collected outside the assigned survey area.
Built for monitoring & evaluation work — assign respondents to a panel, run the same questionnaire across baseline, midline, and endline waves, and roll indicators up into a program scorecard without losing the thread between rounds.
FieldGovern's PWA runs the same form, offline, on Android, iPhone, and Windows tablets — no app-store install, one codebase. On the backend, run our India-hosted SaaS (Mumbai servers, DPDP-aligned) or self-host the entire stack via Docker Compose on your own Linux server, so your data never leaves infrastructure your organisation controls.
Bring your own OpenAI, Claude, or Gemini API key — FG Writer turns Analyzer tables and interpretations into a finished, exportable report.
Connect OpenAI, Anthropic Claude, or Google Gemini using your own API key. FG Writer reads the per-table interpretations you stored in the Analyzer — generating richer, contextually accurate narratives instead of re-summarizing raw numbers. Export to Word, Markdown, or scheduled email.
Schedule any report to regenerate and email itself weekly or monthly — supervisors and donors get a fresh narrative without anyone opening the tool. Every generated draft is versioned, so you can compare, restore, or roll back to an earlier write-up.
Build tables with AI, run the right statistical test automatically, and catch data quality issues before you present the results.
Column Picker: Search and select specific columns from your dataset. AI sees the real unique values from your submissions, then designs the optimal table structure — groupby, aggregation, chart type, and pre-cleaned column labels in one shot.
Ask a Question: Type in plain English — "average age of beneficiaries per district, broken down by gender" — and AI parses all your column headers to build the full table specification automatically.
Choose from 10 methodology-driven focus templates — Distribution & Spread, High vs Low Performers, Equity & Disparity, Change Over Time, Interaction Effect, Concentration Analysis, Outlier & Anomaly, Program Performance, Group Comparison, or Custom focus. No length restrictions — the AI writes as much as the data warrants.
Build cross-tabulations with a click, then let the built-in test chooser recommend the correct statistical test based on your variables' measurement scale — chi-square for categorical pairs, t-test or ANOVA for group comparisons, Pearson/Spearman correlation for continuous variables. Weighted statistics supported throughout.
Driver analysis one-hot encodes your categorical predictors and runs regression to show which factors move an outcome. For evaluation designs, difference-in-differences causal analysis compares treatment and control before/after an intervention. Power analysis and a guided study-design wizard help you size the sample before you're in the field.
Survey quality checks scan every response for full-row or partial duplicates and straight-lining (identical answers repeated down a grid), flagging suspect records before they skew your results. Geo aggregation summarizes responses by district or custom boundary, while verbatim coding and cluster analysis round out qualitative and segmentation work.
A safe, separate cleaning workspace — dedup engine, PII redaction, and version-safe working copies.
FG Cleaner scans your dataset for exact and partial duplicate rows — same respondent submitted twice, same phone number reused, same GPS point recorded minutes apart — and lets you review and merge or remove them without ever touching your raw export.
Every identifier field marked on a form — name, phone, Aadhaar — can be automatically redacted or masked before a dataset leaves your hands. Aadhaar numbers are masked to their last four digits; other identifiers are replaced outright, so external partners and donors only ever see de-identified data.
Cleaning operations run against a working copy of your dataset, never the source file or the live submissions. Step back through your cleaning history, compare before/after, or start over from the untouched original at any point.
Server-side QC, DPDP consent tracking, field-level encryption, tenant isolation, data rights, and multilingual support — built in from day one.
Server-side validation, duplicate detection using idempotency keys, GPS mismatch alerts, and a built-in back-check workflow. Your data is clean before it ever reaches the analysis team.
The Digital Personal Data Protection Act 2023 is baked into the platform — consent tracking per respondent, full audit logs, a data erasure endpoint, and a purpose field on every form. No custom compliance work needed.
Four languages available out of the box for the enumerator interface. AI-powered label translation lets you add new languages to any existing form in minutes — no developer needed, no strings file to manage.
Personally identifiable fields are encrypted at the database layer using field-level AES encryption — not just disk-level encryption. Public survey responses and per-tenant AI API keys are encrypted with their own dedicated keys, so a database compromise alone doesn't expose respondent identities or credentials.
Database-level Row-Level Security enforces tenant isolation at the PostgreSQL layer itself — not just in application code. Even a bug in a query can't leak one organization's submissions into another's results, because the database refuses the row before it ever reaches the API.
Respondents' DPDP rights are handled as first-class workflow: search a request across every form and submission, act on it (redact, export, or delete), and close it out with a generated deletion certificate for your compliance records.