SuperAPI AI Directory

bds-intake-and-monitoring-system-spec

Office & productivity

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Updated 10-16 08:03

About this skill

BDS Intake and Monitoring System Spec

Acknowledgement: Shared by Peter Bamuhigire, techguypeter.com, +256 784 464178.

Overview

Use this skill to write requirements for the operational system behind a BDS or accelerator programme. The system may be a spreadsheet, Airtable-style base, KoboToolbox/ODK workflow, database, or lightweight app, but the requirements must define data, access, audit, scoring, monitoring, privacy, and reporting before tools are chosen.

Use When

  • Designing an application register, eligibility screen, scoring matrix, diagnostics tracker, action-plan tracker, expert deployment tracker, or M&E dashboard.
  • A donor programme needs auditable selection, beneficiary tracking, and quarterly reporting.
  • Sensitive company, personal, financial, or diagnostic data will be collected.

Do Not Use When

  • The task is only public campaign copy.
  • There is no selection, monitoring, or reporting workflow.
  • You are building software without first defining the data and control model.

Required Inputs

  • Application form fields and eligibility/award criteria.
  • Monitoring indicators and reporting cadence.
  • User roles, reviewers, experts, donor/client viewers, and administrators.
  • Data-protection and consent constraints for the relevant countries.
  • Expected tool route: spreadsheet, form tool, Airtable-like base, or app.

Workflow

  1. Define the data dictionary for applications, eligibility, scoring, diagnostics, TA packages, attendance, action plans, evidence, and outcomes.
  2. Separate eligibility pass/fail checks from award scoring and ensure scoring is computed, explained, and reviewable.
  3. Specify RBAC: applicant, administrator, screener, evaluator, expert, team leader, donor viewer, auditor.
  4. Require audit trail and versioning. If the chosen tool cannot provide immutable logs, specify compensating controls.
  5. Define consent, minimisation, retention, confidentiality, export, and anonymisation requirements.
  6. Define indicator metadata: definition, source, disaggregation, owner, frequency, validation, and reporting output.
  7. Specify dashboard views for pipeline, geography, selection, diagnostics, TA delivery, risks, and outcomes.
  8. Produce acceptance criteria and test cases for the register and dashboard.

Quality Standards

  • Every field is typed, validated, and owned.
  • Eligibility and award scoring are separate.
  • RBAC matches the real capability of the chosen tool.
  • Audit and version controls are explicit.
  • Monitoring indicators are defined before dashboard design.
  • Privacy-by-design defaults to the strictest applicable programme standard.

Anti-Patterns

  • A shared spreadsheet with personal/company data and no access control.
  • Manual scoring with no formula, reviewer notes, or audit log.
  • Indicators with no source or disaggregation.
  • Collecting more data than the programme uses.
  • Dashboards that cannot be reconciled to source records.

Outputs

  • Intake and monitoring system requirements.
  • Application-register data dictionary.
  • Eligibility and award-scoring rules.
  • RBAC and audit-trail requirements.
  • M&E indicator dictionary and dashboard requirements.
  • Acceptance criteria and export requirements.

References

  • references/data-dictionary-and-rbac.md: Core tables, fields, scoring, roles, and controls.
  • references/monitoring-dashboard-requirements.md: Indicator dictionary and dashboard view requirements.