For the complete documentation index, see llms.txt. This page is also available as Markdown.

Templates and resources

Find templates to perform user research, request data, and best practices for AI on this page.

Access templates and resources

Use the following samples as starting points. See also, Appendix: SNAP Data by State for descriptive metrics that can inform your approach.

Resource
Description

Qualitative research plan

Document to help lay out your research goals, methodology, recruitment, and timeline

Interview guides

Resources to drive structured conversations with frontline staff

SNAP QC data request template

Sample document to request access to basic QC error data

State partner questionnaire

Document to support early project conversations with leadership, policy, systems, IT, and other teams to gather critical information

SNAP vendor landscape

CBPP and the Safety Net Response Network helped compile this detailed list of solutions offered by 19 vendors, including states they work with and solutions for payment accuracy:

Best practices for leveraging AI/Gen-AI technologies

Start small & be specific:

  • Break workflows into discrete pieces; only apply AI where it's the best tool and can enhance existing systems

Start with proven use cases:

  • Intelligent document processing: tagging, data extraction, verification flagging

  • Plain language translation of forms and notices

  • Surfacing data conflicts for human review

Keep humans in the loop:

  • AI should speed up human processes while remaining easily verifiable and overridable

  • Leave final judgment calls to people

Build solid foundation first:

  • Prioritize data hygiene: deduplication, have clear source of truth for error data

  • Build capability for A/B testing before deploying AI

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