Fieldlock
Ask your survey a question in plain English. You get the percentage, how many people it is based on, and the exact question it was counted from. If that question was never asked in the wave, you get no number, and we show you the look-alike question we left out. Your client can ask too, from a page you give them. The file never leaves your login.
On live studies
This is the real engine, running in your browser on a made-up study. Harborline is a food packing survey with two seasons. Ask it anything.
NextFluent Fieldlock
Public sample
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Counting 100 rows in this tab.
Most tools hand you a number from the nearest column they can find. Fieldlock looks for the question you meant. When it is in the wave, you get the percentage. When it is missing, the card stays blank and names the look-alike question it refused to count, with the percentage you would have been given by mistake.
Under each percentage sits the wording it was counted from, how many people answered, and a hash. Run the same question a year later and the receipt matches. Copy the card as an image, drop it in the deck, and your client can check it on their own.
Give each client one page. They type their own questions and get answers from your study under the same rules. Every question they ask shows up on your desk. The response file stays on your login, in Frankfurt.
Your studies down the side, your questions in a thread, one card per wave, and under each card the steps that produced it. The screens below are the real desk on the Harborline sample and on a second made-up tracker with two waves.
The sample above is one made-up study. The login is where your real studies live.
Drop the SPSS file. It carries the question wording and the answer labels, so there is nothing to type in. A CSV works too. Add the study you are working on, or every study you run.
Ask one question across all of them and each study answers on its own. We never blend two studies into one percentage.
Type the question the way your client says it on the phone. Back comes the figure, how many people, and the wording we counted. When a question was put to some people only, the card says who, worked out from the file itself: “Asked only of the 484 who ticked the brand on the awareness question.” A weight in the file is applied and named. A 1–5 question comes back as a named box or a mean. An amount comes back as a mean, or as the share over €50, with the refused codes left out. A ranking question comes back as a table of first choice, top three and mean rank. Ask what drives a score and the card carries the drivers table.
Add “by plant” to cut it, with a letter on each column and the 95% test between them. Add “among those who changed supplier” to narrow it. With two waves the card says whether the change is real. With three or more it draws the line.
They read what you sent, and they can ask for themselves. You see every question they typed before the next call.
List their work email and they sign in once to find every page they have been given. See a client page.
Last season you asked retailers why they delisted. Twenty out of a hundred said the hygiene score. Next season that question was not asked. The file does hold a look-alike: would they delist if the hygiene score were poor. Twenty-five out of a hundred said yes. A chat on the file counts that one and tells you 25%.
A chat on the file
25%
Would delist because of the hygiene score. 25 out of 100. That’s the question in the file.
Fieldlock
No figure
We put that question’s name on the page, show its 25% as not counted, and leave it out.
Last season, the question you asked is in the file. 20 out of 100 said yes. Unweighted. The wording sits under the number.
Drop a response file from any survey tool. Your browser reads it and counts it right here. Nothing is uploaded and nothing leaves this tab. Drop a second file and you have two waves.
NextFluent Fieldlock
Your file · read in this tab
Drop an SPSS .sav or a CSV here or .
An SPSS file brings its own question wording and answer labels, so nothing has to be typed in. A CSV works too: one row per person, one column per question. Drop a labels file with it, two columns, column name and question wording, and each question gets its wording. A second file is the next wave. The file’s weight is applied, with the unweighted figure beside it.
Nothing loaded
This is the free version. The desk keeps your studies, lets you pin wording, and gives your client a page. See pricing.
You run the study and you answer for the numbers. The desk gives you a figure with its wording and base in the time it takes to type the question, and refuses when the honest answer is no figure. Pins keep your decisions.
You are on the phone when the client asks. Ask the desk the way they said it, copy the card into the deck, and send it to their page. Every question they typed themselves is listed before the next call.
You get one page from your agency. On it, the cards they sent and a box to ask your own question. Every number carries the question it came from and a receipt you can check. The file stays with the agency.
An SPSS .sav, which brings its own wording and labels. Or a CSV, with a two-column labels file if it has none. A weight in the file is applied and named. More on files.
No. Every figure is arithmetic on the rows of your file, and
every receipt says model=none. Nothing you upload
is sent to ChatGPT. Security and data.
That this figure came from this study, this wave, this question, this field and these rows. Run it again in a year and the hash matches. How we count.
The desk is €2,400 a year for one login. With a page for one client it is €3,600. We set up your first study with you, on a call, in an afternoon.