Industry Playbooks
A note-taking system for authors must capture research insights with citations, interview observations with attribution, idea fragments with context, and writing assets across projects — building the documented foundation that makes books credible, writing faster, and a writing career compounding.
An author is 200 pages into her manuscript. She's written: "Research consistently finds that when people are given more choices, they're less likely to choose — and less satisfied when they do." She knows this is the Iyengar and Lepper jam experiment, the Schwartz paradox of choice research, and she's read about it in half a dozen books. She cannot remember which of her sources has the most relevant statistic for the specific claim she's making.
She searches her notes: "Sheena Iyengar" returns 6 results, none of which have the specific statistic. The 6 results are highlights she made in three different books in three different apps, none of which are organized together or connected to each other.
She spends 90 minutes finding the specific study in the actual journal article she read 11 months ago.
A note-taking system for authors is what prevents this — the organized practice of capturing, in one retrievable system, the research insights with their sources, the interview observations with their attribution, and the ideas and fragments that move across projects.
Research notes connected to sources: Not "someone found that choice overload reduces satisfaction" but "Iyengar & Lepper (2000), Journal of Personality and Social Psychology — in the jam experiment, customers shown 24 varieties were 10 times less likely to purchase than those shown 6. p. 995-1006." The citation is what makes the note retrievable and the claim credible.
Interview notes with attribution clarity: On-record vs. background vs. off-record, documented at the interview level, is the legal and ethical infrastructure of nonfiction. Notes that don't document attribution status create risk when the book is published.
Ideas with enough context to reconstruct: "Good chapter idea" is an idea you'll never recover. "Chapter idea: the measurement problem — we can't measure remote work productivity without the presence proxy, so managers are uncomfortable not because of the work but because of the measurement" is recoverable.
Writing assets organized for reuse: Cut passages, abandoned chapters, strong paragraphs that went in the wrong book — archived and retrievable by theme, these are the source of future work.
For every book, article, study, or data source that informs your work:
Research note format:
The most important discipline: Write the citation FIRST. Before you write a single word about what you learned, write where you learned it. This is the reversal of how most people take notes — they capture the insight and forget to note the source. This single habit prevents 90% of fact-checking emergencies.
Verbatim vs. paraphrase — mark clearly: For any text that may end up quoted in the book, copy it exactly and mark it with quotation marks. Your paraphrase goes separately, without quotation marks. Confusing your own words with source words produces plagiarism — unintentionally but consequentially.
For conversations with research subjects, experts, and practitioners:
Before the interview:
During the interview:
After the interview (within 48 hours):
The attribution annotation: At the top of every interview record, clearly note the attribution status:
The ideas that arrive unbidden — in the shower, between books, at 3am:
Idea capture requirements:
What to capture:
Processing discipline: A weekly review of idea captures — what's worth developing? what needs to move to active research? what was a passing thought, not a real insight? — converts a capture system from an idea graveyard to a content pipeline.
Cut material as archived fragments: When you cut a passage from a draft, don't just delete it. Move it to a "Cut Material — [Theme]" file. Strong passages cut from one project frequently belong in another; archived by theme, they're recoverable.
For long-form projects (books), a running meta-note captures the project's evolution:
Project log:
This running log is the thinking record — not the research, not the draft, but the author's developing understanding of what the book is and what it needs.
| Context | Tool | Notes |
|---|---|---|
| Research notes | Notion or Obsidian | Topic-organized; searchable; linked |
| Source citations | Zotero | Separate from notes but linked |
| Interview notes | Notion + Otter.ai | Notes + transcript backup |
| Mobile idea capture | Bear / Apple Notes | Quick; syncs; reviewed weekly |
| Writing assets | Scrivener (Research folder) | Organized by project and theme |
| Web source capture | WebSnips | Clip with date and URL |
WebSnips for author note-taking: Web-based research sources need to be captured with the same source rigor as books and journal articles. A specific government data page, a specific journalist's investigation, a specific organizational report — these sources can change or disappear between research and publication. WebSnips captures specific pages with date and source URL. The clip becomes the retrievable source for the note, answering the fact-checker's "where did you find this?" with evidence rather than memory.
An author, Daniel Park, is writing a book on the history and future of urban public libraries. He's been developing a note-taking system he'll use for a 3-year project:
Research note:
Source: Pettigrew, K. E. (1999). "Waiting for chiropody: Contextual results from an ethnographic study of the information behaviour among attendees at community clinics." Information Processing & Management, 35(6), 801-817.
Key finding: People who visit community service locations (including libraries) often receive information incidentally — not by seeking it out, but through ambient proximity to others seeking it or offering it. Pettigrew calls this "information grounds." Libraries function as information grounds beyond their explicit information services.
My interpretation: This is the counter-argument to the "libraries are just book warehouses" view. The social function — information grounds — is what explains why libraries in disadvantaged communities have dramatically higher per-patron visit rates than those in affluent communities. The information ground function is more valuable where ambient social information is scarcer.
Connects to: Chapter 3 (social function of libraries); contrasts with the "libraries = information access" frame that focuses on collections
Questions raised: What's the current evidence for information grounds in public libraries post-2000? Has the concept been updated? Who has built on Pettigrew's work?
Tags: information-grounds, social-function, libraries-theory, Chapter-3
Interview note:
Subject: Patricia Johnson, Head Librarian, Parkside Public Library
Date: October 12, 2026
Setting: In-person at the branch; recorded (permission confirmed)
Attribution: ON-RECORD; name and title may be used; direct quotes permitted
Near-verbatim quote: "We have people who come in every day and don't use a single book or computer. They sit, they talk to people, sometimes they sleep. We're the only warm, safe space in 6 blocks that they can enter for free without buying anything. You can call that a library or you can call that a public living room."
Context: Patricia said this in response to my question about whether the library's role had changed with internet access. She pushed back on the premise that the internet changed the library's fundamental function.
My note: Strong quote for opening the chapter on the social function. The "public living room" framing is exactly the information grounds concept described in practitioner terms.
Follow-up: Ask Patricia if she'd be willing to let me spend a morning observing — I want to see the information grounds dynamic in practice, not just hear about it.
Idea capture:
Date: October 14, 2026 (train home from the library)
Idea: Opening of Chapter 1 — open with the statistic about what percentage of Americans say the public library is "important" to them and their community (it's over 90% consistently) vs. what percentage actually visit (somewhere around 50%). This gap — between what we believe about libraries and how we use them — is the book's central tension.
Connection: I know the Pew Research data on this; I need to find the most recent numbers; also find international comparisons for UK, Netherlands (both have strong library systems I'm covering)
Status: Strong hook — add to Chapter 1 outline; find the data
Source quotation and accuracy: Quoting a source requires accuracy — the source said what you claim they said, in the context you imply they said it. Misquotation, quote manipulation (assembling separate statements into one), or context distortion are journalism ethics violations that can result in legal liability as well.
Interview recordings: Audio recordings made for research purposes are often kept as backup verification for any quote attribution disputes. Some authors retain recordings for a defined period post-publication; some retain indefinitely. Know your publisher's guidance and consider the applicable retention policy.
Privacy for interview subjects: Interview subjects who provide sensitive information about themselves or others may have privacy expectations beyond what they explicitly articulate. The author's professional judgment about what privacy interests are implicated — and whether publication serves a purpose that outweighs those interests — is an ongoing ethical responsibility, not just a consent-and-proceed process.
Mistake 1: Citation at the end instead of the beginning. Writing the insight before writing the source is how citation notes end up missing their source. Write the citation first.
Mistake 2: Verbatim and paraphrase not distinguished. A paraphrase you wrote without quotation marks, in your notes, six months ago, may look like your original words when you return to it in the draft. Mark every verbatim passage clearly — in the notes, not just in the draft.
Mistake 3: Interview notes without attribution documentation. A set of interview notes without "on-record" or "background" marking creates risk when you use the material. Document attribution status at the top of every interview record, before you capture any content.
Mistake 4: Ideas captured without context. "Great chapter idea" — what chapter? what idea? Ideas captured without enough context to reconstruct them are ideas that evaporate. A sentence of context is usually enough to recover the insight; a word is rarely enough.
A note-taking system for authors is what converts years of reading and research into a retrievable foundation rather than a mass of highlights and memories. The author who writes citations before insights, marks verbatim clearly, documents interview attribution in real time, captures ideas with enough context to recover them, and archives cut material by theme is building a practice that makes each book faster and better than the last. The notes don't just support the book being written — they compound across a writing career.
More WebSnips articles that pair well with this topic.
AI knowledge work for authors is transforming research synthesis, draft structure development, fact-checking assistance, and content repurposing — enabling authors to write more thoroughly researched books faster without replacing the human judgment that makes books worth reading.
Knowledge management for authors is the practice of organizing research, interview notes, source materials, ideas, and writing assets — enabling authors to write books and articles grounded in evidence, with sources retrievable on demand and ideas that compound across projects.
Research workflows for authors are the structured processes for source discovery, interview research, expert consultation, fact verification, and synthesis — enabling authors to write books grounded in evidence, with claims that survive the fact-checker and sources that are retrievable on demand.