Workflow & Quality

Managed collection. Structured delivery. Human quality control.

FYI Africa manages the data collection workflow from brief to final dataset delivery, with consent, metadata and quality control built into the process.

1
Collection brief and dataset specificationScoped
2
Consent, recording and contributor coordinationManaged
3
Transcripts, labels and metadata structureProcessed
4
Quality checks, file validation and reportingReviewed
5
Final dataset package for AI and research teamsDelivered
Process

From requirement to dataset

A clear workflow helps clients move from a data requirement to a structured, usable dataset with the right rights, metadata and quality checks in place.

1

Scope requirement

2

Define sample design and dataset structure

3

Design prompts, scripts, scenarios or tasks

4

Coordinate contributors according to the dataset specification

5

Collect recordings

6

Capture consent and usage rights

7

Transcribe, translate and annotate

8

Structure metadata

9

Quality-check dataset

10

Deliver final files and reports

Trust layer

Rights, quality and delivery built into the workflow

Serious AI data buyers need confidence that datasets are collected transparently, documented properly and delivered in a usable format.

Consent and rights

  • Participant consent
  • Recording release forms
  • Usage-rights clearance
  • Client-specific consent wording
  • Consent tracking
  • Rights documentation for AI training, testing, evaluation or licensing
  • Privacy-conscious handling
  • De-identification where required

Quality control

  • Audio clarity checks
  • Video clarity checks
  • Prompt/task compliance
  • Speaker audibility
  • Language and accent validation
  • Duplicate detection
  • Duration validation
  • File format validation
  • Metadata validation
  • Consent validation
  • Transcription accuracy review
  • Annotation consistency checks
  • QC reporting

Structured delivery

  • Audio or audio-visual files
  • Transcripts
  • Translations, where required
  • Annotation labels
  • Metadata files
  • Speaker or participant demographic fields
  • Consent tracking
  • Quality-control report
  • Delivery summary
  • Replacement log, where applicable
Human quality control

Review designed around the project risk profile

Quality control can be designed as full review, sample-based review or multi-stage review depending on the project budget, risk profile and client specification.

For model-critical datasets, quality checks can be more intensive. For exploratory pilots, the review layer can be calibrated to the project scope.

Audio clarity
Video clarity
Prompt compliance
Speaker audibility
Language validation
Accent validation
Metadata completeness
Consent status
Transcription review
Annotation consistency
Technical delivery

Flexible formats for AI and data teams

FYI Africa can align dataset delivery to client requirements for audio, video, transcripts, metadata and reporting.

Audio formats

WAV MP3 FLAC M4A OGG PCM WAV 8 kHz 16 kHz 44.1 kHz 48 kHz

Video formats

MP4 MOV WebM Embedded audio-video Separate audio and video Screen recordings

Text and metadata

CSV XLSX JSON TXT SRT VTT QC reports Consent tracking sheets
Start with confidence

Need a rights-cleared, quality-checked African dataset?

Tell us your use case, data type, languages, sample design, consent requirements and technical delivery needs. FYI Africa will help define the right collection workflow.

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