Research & Data Collection Capability Statement

VoiceInsights Africa — Research & Data Collection Capability Statement

Instrument setup, enumerator and field operations, offline workflows, multi-channel collection, multilingual delivery, validation and handover — each at its registered status.

Document
VIA-CAP-RESEARCH-DATA
Version
1.0
Audience
Public · Procurement
Published
2026-09-21
Last reviewed
2026-09-21
Language
English (canonical)

The document below is the full text. It is the same content as the PDF, from one source.

VoiceInsights Africa

Research & Data Collection

VoiceInsights Africa

From the instrument to the handover, on one governed pipeline

“Every Voice. Every Language. Every Insight.”

Version1.0
Published2026-09-21
DocumentVIA-CAP-RESEARCH-DATA
AudiencePublic · Procurement

End-to-end research and data collection

VoiceInsights turns community and field evidence into traceable, decision-ready institutional intelligence.

  1. 1Design
  2. 2Field preparation
  3. 3Collection
  4. 4Getting the work back
  5. 5Evidence management
  6. 6Quality control
  7. 7Analysis
  8. 8Reporting and handover
The full profile. This brief is drawn from the Company & Capability Profile 2026, which carries every capability, its registered status and its limits in full. Where the two are read together, the profile governs.

What can be commissioned

Study typeStatus
Household surveySupported, bounded
Population surveySupported, bounded
Kap surveyProven
Farmer surveySupported, bounded
Facility assessmentProven
Health facility assessmentSupported, bounded
Needs assessmentSupported, bounded
Rapid needs assessmentSupported, bounded
Wash assessmentSupported, bounded
Protection assessmentSupported, bounded
Gender inclusion assessmentSupported, bounded
School assessmentSupported, bounded

Enumerator and field operations

Assignment and access

Enumerator assignments are bound to a project. Field staff sign in through a separate door using a project code, an enumerator ID and a PIN — not an email and password — and a session is refused for a project they are not assigned to.

Supervision

Submissions carry the enumerator and the assignment that authorised them, so a supervisor reviews work that is attributable rather than anonymous.

Offline is the default assumption, not a fallback. The field application collects without a network and reconciles when a device reconnects. Validation runs on the device and again on the server, so an unusual route cannot bypass it.

Collection routes

6 registered routes into one governed pipeline. What arrives is shaped the same way whichever route it came through.

Collection routeStatus
Phone CallProven
WhatsAppProven
SMS / Feature-Phone FallbackProven
Web Platform LinkProven
Offline Mobile ApplicationProven
EmailProven

The web link and the offline application work wherever the platform is deployed. Phone, WhatsApp and SMS are connected once a communications provider is configured for your organisation — one account covers all three.

What the instrument can and cannot do

Published limitations, carried on every study type.

No roster. One record per unit on every collection surface. Member-level rosters — a household enumerated person by person — are held relationally by the platform, and there is no roster control on the

No causal claim. Change is reported descriptively — a value, a later value, and the difference between them. No causal or attribution claim is produced, because the platform implements no identification stra

No media capture. Photographs, GPS points and file attachments are not question types a respondent or enumerator answers. Location is recorded about a submission, not asked as a question.

Bounded logic. Skip logic is one condition on one earlier question — “if they said no, do not ask the follow-ups” — evaluated by the server as well as the device. Multi-condition expressions, arithmetic ac

These are published on every study type rather than discovered during fieldwork. A programme that needs member-level household rosters, photographic or GPS evidence as an answer, or multi-condition branching should know that before the instrument is designed, not after.

Multilingual delivery, quality and handover

What we will not tell you about language. No speech-recognition accuracy figure is published for any African language, because none has been benchmarked. The platform performs no automatic language detection — a declared language is what the caller supplied. The number of registered languages is not a capability figure, and the six axes are never added into a single “languages supported” number.
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Handover includes the governed dataset export alongside the publications, so your team can analyse in its own stack without losing the record of how each value was produced.

Contact us

“Every Voice. Every Language. Every Insight.”

Tanzania — Head Office

Ali Hassan Mwinyi Road, Kisutu
3rd Floor, Haidary Plaza
P.O. Box 77139
Dar es Salaam, Tanzania

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VoiceInsights Africa · VoiceInsights Workspace
Research & Data Collection Capability Statement · Version 1.0 · voiceinsightsafrica.com
VIA-CAP-RESEARCH-DATA · Published 2026-09-21 · English (canonical)
Derived from the Company & Capability Profile 2026 and the governed capability registries. 126 master claims audited; 39 excluded as future or withheld.