Data analysis and reporting for programs and operations
Turn program and operational data into accurate, regular reports and dashboards that funders, boards and managers can trust.
Most performance problems live in everyday processes: handoffs, delays, missing information and workarounds. We help your team map how work really happens, choose measures, test changes on a small scale and keep the ones that work.
Quality improvement is a structured way to make a process work better and to prove that it did. It starts with understanding how work really happens, sets a clear aim, tests practical changes on a small scale, and uses data to decide which changes to keep. It is ongoing work led by the people who do the job, not a one-time report.
The Model for Improvement from the Institute for Healthcare Improvement captures the core idea in three questions:
We help you choose one process that matters, understand it, and improve it with your staff. You get process maps, a small set of measures with baselines, an improvement plan, the results of each test of change and a dashboard to track progress. Data work is supported by our data analysis and reporting service, and when improvement needs better systems, our workflow automation and integration teams can help.
| Element | Example |
|---|---|
| Aim | Increase completed specialist referrals within 30 days from 55% to 75% by the end of the year |
| Outcome measure | Share of referrals completed within 30 days |
| Process measure | Share of referrals with all required information at first submission |
| Balancing measure | Staff time spent per referral |
| First test of change | A referral checklist used by two staff members for two weeks |
Most projects begin with a current-state review of one process and the measures that matter for it. We then prepare a written scope with deliverables, responsibilities and costs in US dollars (USD). See our health and public sector page for how we work with agencies, health organizations and nonprofits.
The exact list is agreed in writing for each project. These are the usual deliverables and the usual boundaries.
Most delays in this kind of work come from access and decisions, not from the technical build. Knowing these early keeps the project predictable.
Each stage ends with something you can review before the next one starts.
Map the process with the people who do it, collect baseline data and identify where it breaks down.
Output: Current-state assessment and process map.
Agree what you are trying to accomplish, by how much and by when, and how you will know a change is an improvement.
Output: Aim statement, measures and baselines.
Try changes on a small scale, study the results and decide whether to adopt, adapt or drop each one.
Output: Test log and results.
Roll out the changes that work, update procedures and training, and track the measures over time.
Output: Updated process, dashboard and run charts.
Agree who monitors the measures, how often, and what happens if performance slips.
Output: Sustainment plan and documentation.
We do not publish package prices. Each estimate is based on an agreed scope, in US dollars, with taxes shown separately. These are the things that move the number most:
We use simple, widely used methods: process mapping, clear measures tracked over time and small tests of change. Many healthcare organizations know this approach from the Institute for Healthcare Improvement's Model for Improvement, which pairs three questions with Plan-Do-Study-Act (PDSA) cycles.
We can help you organize measures, improvement plans and documentation that support your accreditation work. Your organization remains responsible for meeting the standards, and only the accrediting body can decide whether you do.
Staff who do the work help map the process, suggest changes and run the tests. Improvements designed with them are more practical and more likely to last.
Usually not at the start. Most improvement work begins with better processes and simple tracking. If the process needs a new system or an integration, our business systems team can scope it separately.
Turn program and operational data into accurate, regular reports and dashboards that funders, boards and managers can trust.
Find out whether a program is delivered as intended, reaches the people it is meant for and moves the outcomes it was funded to change.
Automate repetitive, rule-based workflows with human approval where it matters, a clear audit trail and a tested manual fallback.
Program evaluation, needs assessments, data analysis, quality improvement and health technology for agencies, health organizations, nonprofits and primes.
Tell us which process causes the most trouble and how you measure it today. We will reply to arrange a conversation about a first improvement project.