Every foundation deals with the same problem. The data exists, and there is too much of it: reports, budget spreadsheets, reviews, impact PDFs, even a scanned site-visit letter from three years ago. It is all there. The hard part is getting credible answers out of it, and knowing they are right.
That was the starting point for GoodGraph, and the brief we took on at Vector.
The answers were there, just out of reach
Imagine a grant-making organisation that needs to know which programs are falling behind target this quarter. It sounds like a simple question, but answering it means cross-checking last quarter’s PDFs, opening a dozen spreadsheets to compare them and reconciling numbers formatted three different ways. A solid answer, backed by all the data, could take days, would still leave room for human error, and would be very hard for anyone else to retrace.
What we set out to build
We didn’t want to build another dashboard. Dashboards need maintaining, and they are designed around the questions someone predicted in advance. We wanted a workspace where a program director could ask a question in plain English and get a real answer, with the evidence attached.
So you ask your data directly. Attach your spreadsheets and ask which programs are falling behind target this quarter. GoodGraph reads the files and comes back with real numbers: a summary table, the flagged exceptions and the reason behind each one. There are no dashboards to build and no filters to set up.
- Spreadsheets, PDFs and documents all live in one managed library.
- Files are categorised automatically and can be searched and questioned the moment they are uploaded.
- Request a report, answer a few questions about type, period, audience and emphasis, and a fully styled PDF comes back in minutes.
- Executive summaries, performance tables and charts all link back to the original uploaded files.
- Ask where a figure came from and get an actual answer.
What it looks like in practice
A program officer asks:
Which programs are falling behind target this quarter?
GoodGraph returns a complete summary. Youth Literacy is ahead of target and STEM Scholars is on track. School Nutrition is flagged as behind, at 76% of its goal, and the cause is identified as a supplier transition.
The officer then asks a follow-up about rising cost per beneficiary. The trail leads back to the same supplier change: the same root cause, found in the same conversation, using only the organisation’s own uploaded data.
Without a tool like this, connecting those two dots means reconciling the program-performance sheet against the cost data and reading through the supplier notes. Here, one question surfaces the problem and the next one explains it.
Why it matters
What used to take days of manual cross-referencing now happens in a conversation. What used to take a week to write up for the board now arrives as a styled, source-traced report in minutes.
None of the underlying information is new. The data was always there. GoodGraph makes it answerable, which frees program teams to spend their time on the mission instead of on assembling evidence of it.
It is how we work at Vector: find the quickest path to a working solution, instead of spending hours digging through messy, half-built implementations.
