Donor Reports · Progress Narratives · Impact Reports

Your data
deserves a great
narrative.

You have months of programme data, field reports, and financial records. The donor template is blank. Cruxi connects the two — load all your data and draft every section with one keystroke.

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USAID_Q3_Donor_Report_2026.docx — Microsoft Word
USAID Programme Report — Quarter 3, 2026
1. Programme Overview & Context ✓ Done
2. Key Results Against Targets Drafting…
3. Financial Summary & Expenditure Pending
4. Challenges, Lessons & Adaptations Pending
✓ Section 2 drafted — from your monitoring data
Against the target of 2,400 direct beneficiaries in Q3, the programme reached 2,617 individuals (109% of target), with women comprising 58% of beneficiaries against the 55% target (ref: MIS_Q3_Export.xlsx, Sheet 2). Skill development sessions delivered totalled 184 against a target of 160 (115%), with quality assessment scores averaging 4.2 out of 5 across all training cohorts...

The real situation

The data is in six places. The deadline is tomorrow.

✗ Without Cruxi
😫Your MIS export is in Excel. Your field reports are in Google Drive. Your financial summary is in a different system entirely.
😫You spend three days cross-referencing numbers, copying them into the narrative, and triple-checking for errors
😫"Challenges and Lessons" is the section everyone dreads — you can't write it honestly without re-reading four months of field notes
😫Financial variance explanations require digging through five budget lines and remembering why you underspent in Q2
✓ With Cruxi
✓Upload all sources — MIS export, field reports, financial summary, donor template, previous Q report — in five minutes
✓Select "Key Results Against Targets". Hit Ctrl+D. Cruxi pulls the right numbers from your actual data files, cites the right tab, gets the right percentages
✓"Challenges and Lessons" drafted from your field notes, synthesised intelligently — not written from scratch
✓Financial variance narrative written accurately from your actual budget data — every figure correct, every explanation grounded

How it works

From raw data to polished report.

1
Load all your sources
Upload your MIS data, field reports, financial summary, activity logs, donor template, and previous period reports.
2
Open the blank template
Open the donor's reporting template in Word or Google Docs. Your context is already active in Cruxi.
3
Draft section by section
Select a section heading. Hit Ctrl+D. Cruxi synthesises the right data, writes the right narrative, cites the right sources.
4
Review and submit
Read through, verify figures, make any edits. Submit a report your donor will actually read and appreciate.
What goes in

Every data source.
All connected.

Cruxi understands the relationship between your monitoring data and your narrative. A beneficiary count from your MIS export shows up correctly cited in the results section. A financial variance from your budget tracker gets explained in the right place.

✓
MIS exports, beneficiary data, indicator tracking sheets (Excel, CSV)
✓
Field reports, activity reports, case studies, monitoring visit notes
✓
Financial summaries, budget vs actuals, expenditure reports
✓
Donor reporting template and guidelines
✓
Previous period reports and progress updates
✓
Photos metadata, beneficiary stories, case notes (PDF, DOCX, TXT)
Context — USAID Q3 Report
MIS_Q3_Export_Beneficiaries.xlsx 1.4 MB
Field_Visit_Reports_Jul-Sep.docx 2.1 MB
Budget_vs_Actuals_Q3.xlsx 640 KB
USAID_Reporting_Template_Q3.pdf 1.8 MB
Previous_Q2_Report_Approved.docx 900 KB
5 documents indexed · Ready to draft
What comes out

Every section written.
Every figure correct.

Cruxi handles the sections that require the most data synthesis — turning raw numbers into clear narratives, explaining variance, and writing lessons honestly. Each draft is grounded in your actual data, not generic AI output.

✓
Results vs targets — figures pulled directly from your MIS data, correctly cited
✓
Programme narrative — what happened, with context, drawn from field reports
✓
Financial summary — budget vs actuals with variance explanations from your data
✓
Challenges & Lessons — synthesised from field notes, honest and specific
✓
Next period plans — coherent, logical, aligned with your logframe and remaining budget
Financial variance section — Ctrl+D
Selected section heading
3.2 Financial Variance Explanation
Ctrl+C → Ctrl+D ✨
Reading: Budget_vs_Actuals_Q3.xlsx, Field_Reports, Previous_Q2...
✓ Financial section drafted
Total Q3 expenditure of $284,320 represents 91% of the quarterly budget ($312,000), resulting in a variance of $27,680. The primary underspend occurred in the Training & Capacity Building line ($18,400 below budget) due to two scheduled workshops being rescheduled to Q4 following flooding in Kisumu County (ref: Field_Reports_Aug.docx, p.4). Equipment procurement is tracking as planned. No reallocation is required at this time.

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