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Storyworlding
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Research

How ideas take hold, studied in the open.

Storyworlding studies how ideas and behavior change: what people, and now AI models, come to recommend, trust, and choose. We write each question down before we test it, run it the same way every time, and publish what we find separately from what we think it means.

Method

Four rules for every study

01Write the question first

Before a study runs, we write down the question, the exact prompt or method, and what would count as an answer. The plan does not change after we see results.

02Run it the same way every time

Same wording, same setup, repeated, so a change in the answer means something changed in the world or the model, not in how we asked.

03Report, then interpret

Findings are what the data shows. Interpretation is what we think it might mean. We publish them separately and label both.

04Keep the open questions open

Every report ends with what we still do not know. A question stays a question until the evidence answers it.

How to read what we publish

A finding, an interpretation, and a newsletter item are different things

Findingwhat the data shows, with the method01 ResearchInterpretationwhat we think it might mean02 Our readNewsletter itemnews about Storyworlding03 Newsmay suggestForefield
Three kinds of statement travel in separate lanes. A finding can suggest an interpretation, but each reaches readers under its own label.
Finding

What the data shows, with the method beside it.

Made-up example, not a result: “Model A named the same restaurant in every run.”

Interpretation

What we think a finding might mean. Offered as a view.

Made-up example, not a result: “That consistency may suggest Model A treats luxury as a fixed list.”

Newsletter item

News, partnerships, or updates about Storyworlding. Not research.

Made-up example, not a result: “Build Lab Cohort 01 starts October 27.”

Studies

One study so far

Study 01 / The Recommendation Audit

How do AI models define luxury?

Status
Running now. Results go out in the Forefield newsletter.
Question
When asked the same question, which New York restaurant does each of five AI models call the most luxurious for a romantic date, and why?
Method
One prompt, worded the same way for every model and repeated over time. A follow-up asks each model whether it is sure, as a check on how firmly it holds the answer.
Open questions
Do the models agree? Do their answers hold steady from one run to the next? What does each one seem to mean by luxury?
Where it goes

How research connects to the rest of the firm

ResearchHow ideas take holdClient workAdvise, Build, GrowVenturesCompanies we build and backBuild LabThe method, taughtevidencewhat we learnForefieldto readers, labeled
Research sits upstream of everything else we do, and its results reach readers only through Forefield, labeled as research.
Client work

Questions from our studies shape how we advise clients on being found and recommended, once the evidence supports it.

Ventures

Our ventures follow the same rule: test with real buyers before building. Ideas that fail the test do not get built.

Build Lab

Founders learn the same habit in week one: write the question down before you go looking for an answer.

Forefield

Results reach readers through Forefield, labeled as research, and kept apart from our opinions and our news.

Forefield / Free

Know what is moving.

The free newsletter from Forefield, the research and builder network that works alongside Storyworlding: research from our studies, our read on what is moving in fashion, hospitality, luxury, and technology, Build Lab, and Storyworlding news. Each email is labeled, and we send only when there is something worth reading.

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