Public consultation and policy evidence
For teams handling submissions, specialist comments, coded claims, response matrices, drafting support, or public review pressure.

These case studies show how messy submissions, case studies, interviews, notes, reports, review comments, calculator responses, and project files were turned into structured workflows. Use this page to find the example closest to your problem, then follow the relevant service or calculator.
Most clients do not start by asking for a database, AI assistant, or reporting system. They usually start with a practical problem: too many submissions, too much qualitative material, a report behind schedule, weak source traceability, or data coming in without a usable workflow behind it.
Most of these projects sit somewhere along the same route: messy information, better collection, traceable evidence, usable outputs, clearer decisions. Some begin at collection, some begin after the material already exists, and some begin when structured evidence has to become reports, recommendations, tools, or public-facing outputs.
Forms, calculators, uploads, submissions, partner reports, and intake tools need a clear structure before the data can be used.
View service routeInterviews, submissions, reports, case studies, and comments need to become source-linked evidence that can be reviewed.
View service routeStructured information needs to become report sections, dashboards, recommendations, calculators, presentations, or decision-support tools.
View service routeThese case studies are most relevant for research teams, evaluation firms, public-sector projects, policy teams, UNICEF or UN contractors, and donor-funded report teams.
A public-sector policy process needed a traceable route from public submissions and specialist inputs into claims coding, thematic synthesis, drafting support, and review-comment handling.
What this proves: Public submission analysis, source traceability, policy evidence workflows, synthesis packs, drafting support, and consultation review systems.
A UNICEF-linked report project needed to turn 120 narrative case studies into consistent, traceable, report-ready evidence through a spreadsheet-first workflow.
What this proves: Qualitative synthesis, schema-first extraction, AI-assisted coding with guardrails, quote-per-claim checks, spreadsheet evidence systems, and handover.
A delayed UNICEF-linked situation analysis needed evidence handling, recommendations, and drafting to move together inside a compressed delivery window.
What this proves: Report recovery, evidence retrieval, recommendation support, theory-of-change evidence mapping, coded quotes, and draft report support.
This case study is most relevant for teams that need to collect better information through forms, calculators, portals, lead capture systems, or structured intake workflows.
A broad wellness idea needed to become a structured score-based calculator, lead capture flow, user segmentation system, and evidence-backed content workflow.
What this proves: Calculator logic, structured intake, score-based segmentation, lead capture, data capture, and communication workflows.
Each case study shows the messy starting point, the workflow that was built, how the material was structured, what outputs were created, what became easier to review or report, and which service route the project fits. They are not examples of generic AI use. They are examples of practical systems for moving from scattered information to structured evidence and usable outputs.
Use the problem filters if you want to narrow the proof set quickly. Service and sector filters are useful once you already know what kind of support you need.
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A national policy review needed a defensible way to move from public submissions and specialist inputs into synthesis, drafting support, and consultation review without losing the link back to source material.
A UNICEF-linked report project in Zambia needed to turn 120 narrative case studies into consistent, traceable, report-ready evidence through a spreadsheet-first qualitative synthesis workflow.
A delayed UNICEF-linked situation analysis project in Palestine needed report recovery support because the evidence was not yet structured enough for writing, recommendations, and review to move together.
I designed a score-based lifestyle calculator that turns a broad wellness idea into a structured user interaction, lead capture flow, and evidence-backed content system.
If your team is dealing with scattered submissions, interviews, case studies, reports, review comments, calculator responses, or internal records, send a short project brief with what material you have, where it currently sits, what output you need, what deadline or review pressure exists, and whether source traceability matters.