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Themed and analyzed the moment data syncs from the field. Offline surveys on Android, iOS, or any browser — no export to Excel, no analyst handoff.
Every offline survey tool ends the same way — collect on a tablet in the field, sync when signal returns, hand the CSV to an analyst weeks later. Sopact runs the analysis the moment data syncs, in the same language it was collected, ready for the funder.
“Bus fare. The clinic is 6 km from my village and I can't afford the trip every week.”
Synced once devices reconnected · across 6 villages
Theme surfaced in 4 minutes · open in funder report
From no signal to a defensible finding — the same workflow, end to end.
Every offline survey tool ends the workflow at sync. Field workers collect on tablets, devices upload to a cloud, the CSV downloads. Then a fresh handoff begins — to an analyst who imports it to SPSS or Excel, cleans it, codes the open-ends, runs the cross-tabs, drafts the funder narrative. By the time anything useful emerges, the program week has moved on, the cohort has finished its next session, and the funder is two emails closer to anxious.
Sync is the wrong destination. The destination is the funder report — everything between is a workflow problem, not a data problem.
Why Sopact built this differently
Sopact's four AI agents — Cell, Row, Column, and Grid — do not wait for an analyst. Each one runs automatically as soon as field data syncs, on the source language, on the persistent participant record. The end state is a funder-ready report, not a CSV.
01/Cell
The moment a tablet uploads a response, Cell reads the open-ended text and extracts the theme. No queue. No analyst sitting down to code 47 responses one at a time.
A single rubric runs across every response in the cohort — in the source language, with the same criteria. Themes ship at sync time, not at month-end.
02/Row
Field teams meet the same household at intake, midline, and endline. Different days, different enumerators, different connectivity. Row connects every visit to a single persistent participant ID.
Pre/post analysis happens automatically. No name-matching, no phone-number deduplication, no two-day cleanup before the cohort comparison even starts.
03/Column
When data syncs from 6 villages, 3 enumerators, and two weeks of fieldwork, Column treats the whole sweep as one cohort. Cross-tabs by demographic, geography, enumerator, time.
The aggregation work that used to take a week of pivoting in Excel happens automatically. Filters update live as new field devices reconnect.
04/Grid
Sync at 14:32. Draft report from Grid by 14:50. Same cohort, multiple audiences — the funder gets one view, the program team another, field workers a third.
No copy-paste from Excel into Slides. Reports update as new responses arrive, in the language of the audience reading them.
Offline data collection is rarely a feature in a survey tool — it's the substrate of an entire workflow. Below: four common shapes that workflow takes for international and field teams. The flow underneath is the same in each case.
Humanitarian
Enumerators canvass an IDP settlement or post-disaster zone with no signal. Households interviewed, intake forms completed, photos attached. Sync when teams return to base — analysis runs that night, donor brief by morning.
Rubric type Vulnerability + service-access scoring
Program tracking
Same household visited at intake, midline, and endline across a multi-month program. Different days, different connectivity, different enumerators. Persistent participant IDs make pre/post outcome measurement automatic.
Rubric type Outcome-change scoring with attribution
Field service
Community health workers and social-service case managers visit clients in-home. Notes captured offline on a phone, structured against the same rubric every time. Synced at end of day, themed across the caseload by morning.
Rubric type Case-status + flag-for-review
Self-intake
Applicants at remote training centers, vocational programs, and community kiosks complete intake themselves on a tablet or shared device. Forms work offline; data syncs when the device reconnects to a hub.
Rubric type Eligibility + cohort-fit scoring
Rubric weights, criteria, and decision rules are organization-controlled and adjustable mid-cohort — without rebuilding the form, redeploying to enumerator devices, or re-syncing weeks of collected data. The rubric updates; the historical responses re-score automatically. What changes when funder priorities shift, or when an early signal from the first cohort reshapes the program, is small.
Most offline data collection tools support the same long list of devices and the same long list of languages. The differences show up in what happens after data syncs — how it's structured, how it's analyzed, and how long until the funder report exists. Six rows that distinguish the architectures.
Yes — Android, mature
KoboCollect app, ODK lineage
Yes — Android, advanced
Nearby Share, audio audit, GPS fence
Yes — Android, iOS, any browser
No app install required for web mode
No — submissions are independent
Match by name or custom ID at export
Limited — via case management
Add-on configuration, paid tier
Yes — built-in Contacts
Every record persists across surveys
Export to NVivo or manual coding
Analysis happens off-platform
Export to SPSS, R, or manual coding
Analysis happens off-platform
AI themes at sync, source language
Cell agent runs automatically
Forms in 100+ — analyze in one
Translation tax: meaning flattened
Forms in any language — analyze in one
Translation tax: meaning flattened
Analyze and report in source language
Audience-aware report language
Manual via custom respondent IDs
Pre/post matching at export time
Case management on paid plans
Setup-heavy, advanced offline only
Built-in via Row agent
Pre/post automatic, no setup
Weeks — export, analyst, narrative
Manual cleanup typically dominates
Weeks — export, analyst, narrative
Same handoff problem
Hours — Grid drafts, team finalizes
Same week as the field sweep
Capabilities reflect each platform's published features and standard workflows. KoboToolbox and SurveyCTO both excel at the offline collection problem; the architectural difference is what happens to data after the sync completes.
The full workflow, summarized. Each step takes minutes to configure for the first cohort and runs unattended for every cohort that follows.
Drag-and-drop form builder with skip-logic, validation, and rubric authoring in any of the languages your respondents speak. Or import an existing XLSForm if you're migrating from KoboToolbox or ODK.
The form's analysis prompts can be authored in the same language as the questions. No bilingual rebuild required.
Enumerators open the form on Android, iOS, or any modern browser — no app install required for web mode. Field workers complete interviews, attach photos, capture GPS where useful, and validate answers at the field, not in cleanup.
Forms work the same whether the device has full bandwidth, intermittent signal, or no signal at all.
The moment a device reconnects to wifi or cellular, queued responses upload to Sopact. Multi-enumerator cohorts converge into one dataset; multi-village sweeps land as a single cross-tabbable record set.
No manual upload step. No "did the data sync?" follow-up call to the field team.
Cell themes the open-ends. Row links each response to a persistent participant ID. Column aggregates across cohorts and geographies. Grid drafts the funder report in the audience's language.
By the time the field team is back at base for the night, the morning briefing already exists.
Already on Kobo or ODK?
Import existing XLSForms directly. Sopact reads the same form standard, preserves your skip-logic and validation rules, and connects them to the analysis layer without rebuilding the instrument.
Offline collection and AI analysis already exist as separate categories. Connecting them into one continuous workflow takes three architectural choices — the methods that distinguish Sopact from the cluster of tools that stop at sync.
01 / Identity
Every contact gets a permanent ID at first touch — intake form, kiosk enrollment, household visit. All subsequent offline collection links to that record automatically, regardless of which enumerator captures the next visit or which device syncs first.
The deduplication problem disappears. Pre/post analysis runs on a single participant record, not a name-match across exports.
Persistent across surveys, devices, languages, and program weeks.
02 / Quality
Numeric fields restricted to ranges. Text fields restricted to alphabets, with character limits. Skip-logic rules that work offline. Custom validation that catches the typo at entry, not in cleanup three weeks later.
The 80% time tax of post-collection cleanup mostly comes from data that should never have entered the system.
Validation rules enforce on-device, no server roundtrip required.
03 / Analysis time
Cell, Row, Column, and Grid don't wait for an analyst to open SPSS. The moment a device's queued responses upload, all four agents run on the new data — in the source language, against the rubric you authored.
The analytical clock starts at sync, not at handoff. Themed responses, persistent IDs, cross-tabs, and a draft report all converge automatically.
Re-runs automatically when rubrics or weights change mid-cohort.
Most analysis happens live inside Sopact — the moment offline data syncs, the four agents produce themes, scores, and a draft funder report. No export step required for the daily program loop.
For cross-program slice-and-dice, longitudinal data warehousing, or analyst workflows that already live in Power BI or Tableau, data flows out cleanly through standard protocols. Source-language metadata, persistent IDs, and rubric scores all travel intact.
Mode 01
Themes, persistent IDs, cross-tabs, and reports run inside Sopact the moment field data syncs. The four agents produce a complete analytical layer without an export step.
Runs at sync Cell · Row · Column · Grid
Mode 02
When data needs to leave Sopact, it leaves through standards your stack already speaks. No proprietary export format, no SDK lock-in, no per-destination engineering.
Out via REST API · MCP · webhooks · Zapier
Mode 03
For cross-program rollups, longitudinal warehousing, or your analyst's existing BI workflow, push to the destination they already know. Source-language metadata and rubric scores travel intact.
Destinations Power BI · Tableau · Looker · Snowflake · BigQuery · Sheets
The daily program loop runs live; for cross-program slice-and-dice, push to the warehouse and use the BI tool your team already knows.
The eight that come up most often when an M&E or program lead is evaluating Sopact against KoboToolbox, SurveyCTO, ODK, or CommCare.
Yes. Forms render and accept submissions on the device with no signal — on Android, iOS, or any modern browser. Responses queue locally on the device. The moment connectivity returns, queued data uploads automatically. No manual sync step. No "did the data make it?" follow-up call to the field team.
Each device stores responses locally as field workers complete them. When the device reconnects to wifi or cellular, the queued submissions upload to Sopact in the background. Multiple devices syncing from the same cohort converge into a single dataset automatically. The four AI agents start running on each new submission as soon as it arrives — not when the analyst opens it next week.
Yes. Sopact's Contacts layer assigns a persistent ID to every participant at first touch. Subsequent forms — intake, midline, endline, follow-up — link automatically to that record, regardless of which enumerator collects the next visit or which device syncs first. Pre/post analysis runs on a single participant record, not a name-match across exports.
Android, iOS, and any modern web browser running offline. The browser-based mode is significant: enumerators can use whatever device they already have, without an app install or app-store distribution. For shared devices at remote intake kiosks, the same form works in kiosk mode on a tablet that's only connected to wifi at end of day.
KoboToolbox and SurveyCTO both excel at the offline collection problem. The architectural difference is what happens after sync. Both export to Excel, SPSS, or R; analysis happens off-platform, by an analyst, weeks later. Sopact runs analysis at sync time — theme extraction, persistent identity linkage, cross-tabs, and a draft funder report — without the export-and-handoff step.
After sync. Analysis requires the AI agents, which run on Sopact's servers. The collection workflow is fully offline; the analytical workflow runs the moment data arrives. In practice, this means a field team that returns to base at 14:32 has draft themes by 14:38 and a draft funder report by 14:50 — without the analyst doing anything yet.
Yes. Sopact reads the XLSForm standard, preserving skip-logic, validation rules, and question types. Teams migrating from Kobo or ODK do not rebuild their instruments — they import the existing forms, connect them to the Contacts layer for persistent IDs, and add rubrics that drive the AI analysis.
Forms collect in 100+ languages, including right-to-left scripts. Unlike most offline tools, analysis also runs in the source language — no machine-translation to English before themes are extracted. Reports generate in the audience's language, so the funder can read what the participant said without the translation tax flattening cultural nuance. More on multilingual analysis →
Bring an existing XLSForm, point us at a program week with offline collection coming up, or just walk through a 30-minute demo with one of your real cohorts.
Get the AI Data Design Guide30 minutes · one of your cohorts · no slide deck