What a deliverable looks like
A good report isn't a data dump—it's a document you can hand to a collaborator, a reviewer, or your future self and still make sense of. Here's how we structure ours, using an illustrative example.
Everything on this page is illustrative. The structure below shows how we organise a deliverable; any names, numbers, and figures shown are synthetic examples, not real client data or results. Actual reports are tailored to your project and kept confidential.
The sections you can expect
Exact contents vary by service and project, but the shape is consistent.
- 1. Executive summary
- The headline findings in plain language, readable without the rest of the report.
- 2. Background & objective
- The question, the data, and what success looks like—agreed with you up front.
- 3. Data & quality control
- What we received, and QC metrics showing the data was fit to analyse.
- 4. Methods
- Each step, each tool, and each version—enough to reproduce the analysis.
- 5. Results & figures
- Publication-quality figures and tables, with the key numbers called out.
- 6. Interpretation
- What the results mean for your question—with uncertainty stated, not hidden.
- 7. Limitations
- What the analysis can and can't support, and any caveats on the conclusions.
- 8. Reproducibility
- Versions, parameters, and files needed to rerun everything from scratch.
- 9. Deliverable files
- Results tables, figures, and processed data, organised and documented.
A synthetic example
To make it concrete—here's a made-up summary panel in the style we'd deliver. The numbers are invented for illustration only.
Real reports replace this with your findings, your figures, and your data, under whatever confidentiality terms we've agreed.
See what goes into them
Want to see this for your data?
Tell us your organism, data type, and question—we'll scope the analysis and the report you'd receive.