Method
How the research in this library is done and written up. Last updated November 8, 2026.
Principles
- One step at a time. Each document gets full attention, and each step is reviewed before the next. Findings from one step shape the next.
- Evidence over opinion. Calls for input mostly capture what people say. Weight what they do and make.
- Specific over generic. A good finding names a community, a concrete pain, an existing workaround and evidence, like KDOL for fan-funded ads. “Freelancers need payments” isn’t a finding.
- Label what isn’t verified. Every claim is either linked to a source that was opened, or marked (see Evidence labels).
- Look beyond the respectable. Bitcoin’s real use has often been where banks won’t go. Study those places too, and decide separately what any product builds or markets.
- Neutral research, separate strategy. This library describes needs and evidence. What a specific product should do about them lives elsewhere. In practice:
- Use only public sources, or sources that can be attributed openly. Anything learned in private conversations stays out.
- Never assume a particular product. “What could serve this” sections compare kinds of product, and kinds of wallet (phone-based or always-online, payments or savings, iOS or Android), rather than judging one.
- No scores or product-specific labels in research files.
Say, do, make
Liz Sanders’ framework for what to look at:
| What it captures | Examples of sources | |
|---|---|---|
| Say | What people tell us | Interviews, surveys, comments, public calls for input |
| Do | What people actually do | Observation, transaction data, following a real process start to finish, public activity (listings, order threads) |
| Make | What people build to cope, or create when asked | Carrd pages, forms, spreadsheets, workarounds; money-flow maps and co-design sessions |
Two levels of depth
Quick scan (one to two pages per area). Enough to judge the area and decide whether to go deeper:
- The question: what this area asks, in one or two sentences.
- What’s happening: the strongest evidence of a real need, with sources. Include one line on say versus do: where what people say differs from what they actually do.
- Who: the specific people or communities, as concretely as possible.
- Workarounds and players: what people use today, and who else is building here.
- What could serve this: the kinds of product that could meet the need, not only wallets: organizer and merchant tools, platforms, standards, services, games, physical objects. Then the trade-offs for each: where design matters, whether it works without custody or servers, platform (iOS, Android, web), amounts involved.
- Risks: legal, Apple, reputation, technical.
- Confidence: low (desk research only, few sources), medium (several solid sources) or high (direct research).
- Open questions: what a deep dive would need to answer.
- Sources.
Deep dive (a full document), following the community-driven economies file: thesis, definitions, why existing payments fail, case studies, sizing, what could serve this and the trade-offs for self-custodial, client-side products, risks and open questions, a say/do/make research plan, sources. Product-specific strategy is written separately.
Evidence labels
Inline, in square brackets and italics:
- [from memory]: known but not checked in this research
- [assumption]: a guess or illustrative number, not data
- [from earlier research]: from a separate thread, not yet checked against originals
- [to verify]: worth checking before relying on it, including sources that couldn’t be opened during the research
Anything without a label is linked to a source that was actually opened.
File conventions
00–09: entry points and foundation11–29: research areas, one file each (NN-short-name.md)90–99: cross-cutting research documents- Each file starts with its title, a one-line status and a “last updated” date, and ends with sources.