Collection is inconsistent
- Fieldworkers, partners, staff, or stakeholders are sending information in different formats.
- Interviews, case studies, submissions, or notes are too hard to sort manually.
Turn messy information into usable systems
I help teams collect better data, structure it into traceable evidence, and turn it into reports, tools, dashboards, apps, microsites, and decisions.
Most teams already have the information they need. The problem is that the information is hard to collect properly, hard to trace, hard to review, and hard to turn into something useful.
My work helps teams move through the full route: data collection -> traceable evidence -> usable outputs.
Where the work usually starts
The issue is usually a workflow problem
A project usually starts when a team is dealing with one of these problems. The information needs a better route from collection to structure to use.
Evidence is difficult to trace and review
- Useful evidence is trapped in PDFs, spreadsheets, folders, emails, and documents.
- Report writers cannot quickly find the source material behind a finding.
- Public submissions or stakeholder comments need to be coded and reviewed.
- Donor reports, board packs, or internal updates take too long to prepare.
Outputs take too long to prepare
- AI tools are being used, but the outputs are hard to trust because the source base is messy.
- The organisation has useful impact or project data, but no clear way to communicate it.
- A team wants a dashboard, app, microsite, report, or tool, but the underlying data is not ready yet.
Proof from related work
Case study library
Filter the library by the problem, service route, sector, or output closest to the work your team needs to move forward.
How Four Years of Partner Reports Became a Traceable Programme Evidence SystemAn active Social Employment Fund evidence project needed to turn four years of partner reports into a traceable theme and indicator evidence system.Programme evidenceCase studyHow 992 Legislative Records Became a Source-Linked Map of Government Powers and FunctionsAn active South African public-sector research project needed to turn 992 legislative records into source-linked draft powers-and-functions mappings and reviewable outputs.Public-sector researchCase studyPolicy Evidence Workflow for a Local Government White PaperA 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.Public consultationCase studyChild Poverty Evidence Workflow for a UNICEF Report Project in ZambiaA UNICEF-linked report project needed to turn 120 narrative case studies into consistent, traceable, report-ready evidence through a spreadsheet-first workflow.ResearchCase studySituation Analysis Recovery for a UNICEF Report Project in PalestineA delayed UNICEF-linked situation analysis needed evidence handling, recommendations, and drafting to move together inside a compressed delivery window.ResearchCase study
The three service areas
Choose the service by where the problem sits
Some projects only need one part of the workflow. Others need all three.
Data Collection & Intake Systems
For teams that need to collect better information from the start.
I design and build practical systems for collecting information through forms, fieldwork tools, mobile-friendly intake flows, public submission portals, partner reporting templates, calculators, internal request systems, and structured upload processes.
- fieldwork data collection forms
- interview and case study intake tools
- public submission portals
- partner reporting forms
- calculators that send results into a database
- source IDs and submission IDs
- status tracking
- automated folder creation
- AI-supported first-pass summaries, where appropriate
Traceable Evidence Workflow Support
For teams that already have source material and need to turn it into structured evidence, synthesis, findings, recommendations, and report-ready outputs.
This is the main evidence workflow service. I build the working layer between raw source material and final outputs so source material, claims, themes, findings, quotes, recommendations, and review notes stay connected.
- source and respondent structure
- source IDs and file tracking
- coding frameworks
- evidence databases
- quote banks
- claim trackers
- theme and issue matrices
- AI-assisted extraction and review
- human review fields
- report-ready outputs
Data Use, Reporting & Communication Systems
For teams that have structured data or evidence and need to turn it into outputs people can use.
I help teams turn structured information into clear outputs for internal and external use: reports, dashboards, internal tools, public microsites, apps, presentations, annual reports, briefing notes, and automated workflows.
- evidence-based reports
- donor updates
- board packs
- dashboards
- public-facing microsites
- interactive tools
- simple apps
- AI knowledge bases
- internal decision-support systems
- public communication based on structured evidence
Choosing a route
Start from the pressure point
The right answer depends on the source material, the team, the deadline, the review needs, and the output.
You are still collecting the information
Choose Data Collection & Intake Systems if the source material is still coming in and the current collection process is messy. This is usually the right fit when you need forms, intake systems, fieldwork tools, public submission portals, structured upload workflows, or automated records.
Start with intakeYou already have the material, but it is hard to analyse
Choose Traceable Evidence Workflow Support if the information already exists but needs to be structured, coded, reviewed, synthesised, and turned into report-ready evidence.
Start with evidenceYou have the data, but need to use or communicate it
Choose Data Use, Reporting & Communication Systems if the information has been structured and now needs to become a report, dashboard, microsite, app, campaign, presentation, annual report, briefing pack, or decision-support tool.
Start with outputsHow the full workflow connects
The same route can support very different projects
A project may start with data collection, move into evidence structuring, and end with reporting or public communication.
Public consultation project
The team needs to collect submissions, track source details, code comments, group issues, prepare response notes, support drafting, and communicate the outcome.
- public submission intake form
- source register
- coded submissions database
- issue matrix
- quote and claim tracker
- synthesis tables
- response matrix
- report-ready findings
- public-facing summary or microsite
Donor-funded reporting project
The team needs to collect field updates, structure programme evidence, reduce manual reporting work, and produce clearer updates for funders.
- fieldwork or partner reporting forms
- structured programme database
- source-linked evidence table
- AI-supported summary workflow
- monthly or quarterly reporting templates
- dashboard views
- donor update drafts
- annual report content
Research or evaluation project
The team needs to turn interviews, case studies, focus group notes, or open-text responses into findings, recommendations, and report-ready outputs.
- interview capture workflow
- source and respondent tracker
- coding framework
- evidence database
- quote bank
- synthesis tables
- findings matrix
- recommendation support table
- report section notes
- AI knowledge base for approved source material
Impact communication project
The organisation already has useful data about its work, but needs to communicate it better to funders, partners, communities, or the public.
- cleaning and structuring the existing data
- choosing the evidence and stories to use
- creating a dashboard or microsite
- writing public-facing copy
- building a report or presentation
- preparing infographics or summary outputs
Why this work matters
The system behind the information matters
A weak information workflow creates hidden costs: searching for files, rebuilding tables, checking source links, copying information between tools, summarising the same material more than once, and trying to write from evidence that is not ready.
Reporting
A report can be late because the writing is slow.
Often, the deeper problem is that the evidence was not ready to write from.
Dashboards
A dashboard can fail because the design is weak.
Often, the deeper problem is that the data feeding the dashboard is inconsistent.
AI retrieval
An AI assistant can give weak answers because the prompt is poor.
Often, the deeper problem is that the source material is not structured well enough for AI retrieval.
Public communication
A public microsite can look polished and still say very little.
Often, the deeper problem is that the evidence behind the story has not been organised clearly.
What makes this different
The work sits between developer, writer, analyst, designer, and AI consultant
Most information problems do not sit in one tool. A form problem is often also a database problem. A report problem is often also an evidence workflow problem. An AI problem is often also a source structure problem. A dashboard problem is often also a data capture problem. A public communication problem is often also a traceability problem.
Database architecture
I design the structure that lets information be captured, stored, searched, filtered, reviewed, analysed, and reused.
Custom AI building
I build controlled AI workflows around approved source material, clear prompts, retrieval workflows, output formats, and review rules.
Data synthesis
I help turn source material into themes, patterns, findings, gaps, tensions, comparisons, and usable evidence outputs.
Report writing and reporting workflows
I help teams prepare evidence-backed report sections, donor updates, briefing notes, recommendations, synthesis packs, review tables, and reporting templates.
Insight generation and decision support
I help teams understand what the structured information is showing: priorities, risks, options, patterns, bottlenecks, gaps, and next steps.
Workflow automation
I help connect repeated admin steps around the data, including submissions, folder creation, document generation, notifications, status updates, AI summaries, task routing, templates, and handover workflows.
Web, tool, and communication builds
I can help turn structured data into public-facing or internal outputs, including microsites, apps, dashboards, calculators, campaign pages, visualisations, presentations, annual reports, and interactive tools.
How I usually work
From current flow to working system
A short project brief is usually enough to start.
Map the current information flow
I look at where the information comes from, who submits it, where it goes, who reviews it, what output it needs to support, and where the process is currently slow or unclear.
Define the required structure
I help define the fields, source IDs, categories, tags, status rules, review steps, folder logic, and output requirements.
Build the working system
This may be a form, database, evidence table, AI knowledge base, automation workflow, dashboard, report template, microsite, or a mix of these pieces.
Test with real or sample material
The system needs to be checked with realistic inputs so weak fields, missing categories, unclear review steps, broken automations, or unhelpful outputs can be fixed.
Support outputs and review
Where needed, I help turn the structured information into synthesis tables, report sections, findings, recommendations, dashboards, briefing notes, public pages, or other outputs.
Handover the system
The project should leave the client with a working structure, clear notes, and a practical route for using or maintaining the system.
Common outputs
What the work can produce
The final output depends on the project.
Data collection
- data collection forms
- fieldwork intake systems
- public submission portals
- lead capture systems
Data processing
- source registers
- evidence databases
- respondent trackers
- coding frameworks
- quote banks
- claim trackers
- synthesis tables
- issue matrices
- findings matrices
- recommendation support tables
- AI knowledge bases
- prompt libraries
- QA checklists
Using the data
- dashboards
- report templates
- briefing notes
- donor updates
- report sections
- public-facing microsites
- campaign pages
- calculators
- internal tools
- presentation decks
- annual report inputs
- handover notes
- SOPs
What I need to start the work
Send the source types, tools, deadline, and output needed
To understand whether I can help, I usually need a clear view of the context below.
Information
What information you collect or already have.
Current location
Where the information currently sits.
Volume
How much material is involved.
People and roles
Who submits or manages the information.
Required output
What the information needs to become.
Current tools
What tools your team already uses.
Deadline
What deadline or reporting cycle is driving the work.
Traceability
Whether source traceability matters.
Audience
Whether the output is internal, public-facing, or both.
AI support
Whether AI support is useful or risky in the workflow.
Review
What review or sign-off process needs to stay in place.
Project brief
A short project brief is usually enough to start.
Questions people usually ask
Start with the workflow, not the tool
Do I need to know which tool I want before contacting you?
No.
You do not need to know whether the answer is a spreadsheet, database, AI assistant, dashboard, app, report, microsite, or automation workflow.
The first question is simpler: what information do you have, and what does it need to become?
Can this work inside our current tools?
Usually, yes.
Where possible, I build inside the client's approved tools. That may be Google Workspace, Microsoft 365, Airtable, spreadsheets, Framer, Make, Zapier, Apps Script, Power Automate, or another agreed system.
The system needs to fit the team that will use it after handover.
Do you replace researchers, evaluators, policy experts, or report writers?
No.
My work supports the evidence, system, synthesis, reporting, and review workflow around their work.
I do not replace expert judgement. I help make the information easier to collect, structure, analyse, check, and use.
Do you use AI?
Yes, where it has a clear role.
AI can help with first-pass extraction, classification, comparison, summary, retrieval, drafting support, and review prompts.
It should not become the final authority in research, policy, donor-funded, public-sector, HR, or sensitive work.
Can this support public-facing outputs?
Yes.
If the data is structured properly, it can support reports, dashboards, campaign pages, public microsites, apps, tools, presentations, infographics, annual reports, and other communication outputs.
Public-facing work needs careful source selection, review, permissions, and wording.
Can this start small?
Yes.
A project can start with a source register, intake form, evidence table, or workflow map before moving into AI, reporting, dashboards, or public communication.
Starting small is often better than trying to build the full system before the workflow is clear.
Send a project brief
If your team is dealing with messy data, fieldwork inputs, public submissions, interviews, case studies, donor reporting material, internal records, or evidence-heavy work, I can help assess the current workflow and suggest a practical route forward.