How it works
Fieldlock is a desk for the surveys you run. Every screen below is the real desk on the Harborline sample, a made-up food packing study with two seasons. Nothing here is a mock-up.
1
Drop the SPSS file. A .sav carries the question wording and the answer labels, so nothing has to be typed in. A CSV works too, with a labels file if it has none of its own. The desk reads every question once and notes its grain, its tense and its polarity. Those notes score every question you ask afterwards.
A second file is the next wave. Each wave stays its own file, with its own people and its own columns. A question that was not asked on a wave has no figure on that wave.
2
Type the question the way your client says it on the phone. Back comes one card per wave. Where the question was asked you get the figure, the wording it was counted from and how many people it rests on. Where it was not asked the card stays blank and names the look-alike it refused to count, with the percentage you would have been handed by mistake.
Add “by region” and the figure is cut, with a letter on each column and the 95% test between them. Add “among those who changed supplier” and the base narrows to those people. Ask for the mean and a scale comes back as a mean.
3
Each client gets one page. They read the cards you sent and, when you open a study to them, they type their own questions and get answers under the same rules. Every question they ask is listed on your desk before the next call.
The page carries figures, wording, bases and receipts. It never carries the file. You can close the link at any time, and a new link closes the old one.
A figure on its own is a claim. A figure with its wording, its base and its receipt is a finding. Every card on the desk, and every card your client sees, is built the same way.
The Waves tab shows what changed between two files: which questions were asked on both, which were dropped, which are new. When you ask, each wave answers for itself. With two waves the card says whether the move between them is a real change at the 95% level or within what chance would give. With three or more it draws the line.
Two questions that read alike are listed as look-alikes, with the cue words that tell them apart. When an ask lands too close between two of them, the desk does not pick. It shows both and asks you to pin one. From then on that wording binds to the question you chose.
When a question names something the study never asked about, the answer is no figure, with the reason. When two questions score too close together, you are asked to pin one. A nearest column is never quietly chosen.
One figure comes from one file. Ask across every study on your login and each study answers on its own tile. One wave’s percentage is never written onto another.
Every count is arithmetic on the rows of the file. No language
model sits on the number path, and every receipt says so:
model=none. Nothing you upload is sent to ChatGPT.
The Harborline sample runs on the homepage without a login. Your own file can be counted in your browser there too, with nothing uploaded. The desk is where your real studies live.
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