PickFu recruits real people and puts a head-to-head choice in front of them. Reynard simulates a weighted cross-section of a whole market. Both answer a question about an audience; they answer very different questions.
Structural differences only. Where a figure would be a guess, it is left out.
| Aspect | PickFu | Reynard |
|---|---|---|
| Who answers | Real recruited respondents | Simulated agents built on public population data |
| Shape of the question | Head-to-head polls between a small number of options | An idea, price or campaign put to a full population cross-section |
| Sample logic | The respondents you target and pay for | Census-weighted: NL on CBS plus eight Mentality groups, US on Census Bureau data plus eight value segments |
| What you get back | Votes plus written reasoning from the people who voted | An acceptance score per segment, quotes per segment, and region and segment breakdowns |
| Answering 'why' across a population | Through the respondents who happened to be in the poll | Across every segment in the panel, including the ones you would not have recruited |
| Commercial model | Per poll, priced by audience and panel size | Per run, with a free first check and no account |
| Statistical standing | Real human responses | A simulation — no significance, no fieldwork status |
There are decisions where PickFu is the right tool and Reynard is not. These are those decisions.
Real people notice things no model does: the thing that reads as tone-deaf, the joke that lands wrong, the detail that only someone living that life would flag. If that is what you are testing for, recruit humans.
Two thumbnails, two subject lines, two covers. A poll on real respondents is exactly the right shape for that, and PickFu is built around it.
For a stakeholder, a client or a board, a response from a recruited respondent carries a weight that a simulated one does not, and should.
Every run returns the same shape of output, whichever market you point it at.
Reynard is a simulation. It is not fieldwork, it carries no statistical significance, and it cannot replace talking to a customer. Treat it as a fast, structured second opinion that tells you where to look — not as evidence.
The wider field if you are looking to replace PickFu, including real surveys, your own audience and Reynard.
Read the comparisonReynard has published no accuracy figure. This page states the validation experiment we will run, and what a good result would and would not prove.
Read the comparisonOne check costs nothing and needs no account. You see the format of the output before you decide whether it is worth paying for a full run.
Start the free check