Notes Have Two Jobs: Encoding and Storage
Most arguments about note-taking methods skip the question that actually decides the answer: what is the note for?
Back in 1972, researchers Francis DiVesta and G. Susan Gray drew a distinction that still holds up. Note-taking serves two separate functions. The first is encoding: the act of writing notes forces you to select, rephrase, and organize information, and that mental work helps you learn it right now, even if you never read the notes again. The second is external storage: the notes become a record you can return to, study from, and build on later.
These functions pull in different directions. Encoding rewards effortful processing, summarizing in your own words, deciding what matters. External storage rewards completeness and easy retrieval. A method that's great for encoding (because it makes you struggle to compress) can be a poor archive. A method that captures everything verbatim is a great archive but does little for learning in the moment.
There's a related idea worth knowing. In 1978, Norman Slamecka and Peter Graf described the generation effect: people remember material they produced themselves better than material they simply read. Writing "the mitochondria powers the cell" in your own phrasing sticks better than copying it word for word. Good encoding methods exploit this on purpose.
This is also where the most famous note-taking study comes in. In 2014, Pam Mueller and Daniel Oppenheimer published "The Pen Is Mightier Than the Keyboard," reporting that students who took notes by hand outperformed laptop typists on conceptual questions. Their explanation leaned on encoding: typists tended to transcribe lectures word for word, while handwriters, who can't write fast enough to keep up, were forced to summarize, and that summarizing deepened learning.
It's a clean story, and it spread fast. But it isn't settled. Later attempts to replicate it, including work by Morehead, Dunlosky, and Rawson in 2019, produced mixed results, and some found no reliable handwriting advantage at all. The honest reading: the mechanism (processing beats transcribing) is well supported, but "handwriting always wins" is an overclaim. You can transcribe mindlessly by hand and you can summarize thoughtfully on a keyboard. The tool matters less than what you do with it.
Keep both jobs in mind as you read. Each method below leans toward encoding, toward storage, or tries to balance them.
The Cornell Method
Origin. Developed by Walter Pauk at Cornell University in the 1950s, and laid out in his study-skills classic How to Study in College. It's the most taught note-taking system in the world for a reason.
How it works. You split the page into three zones. A narrow left cue column, a wide right notes column, and a summary bar across the bottom. During the lecture or reading, you take notes in the main column. Afterward, you write questions or keywords in the cue column that the notes answer. Then you write a one- or two-sentence summary at the bottom. To review, you cover the notes column and try to answer the cues from memory.
Cognitive job. Cornell is built around review and self-testing. The cue column turns your notes into flashcards, and covering the notes to answer the cues is essentially active recall. It does solid encoding during capture and then forces a second encoding pass when you write the cues and summary.
Best use case. Lectures and structured readings where you'll be tested later. It shines for students and anyone preparing for exams.
Weakness. It assumes linear, sequential input. Fast or chaotic discussions are hard to fit into the three-zone layout, and the post-processing step (writing cues and summaries) only pays off if you actually do it. Skip the review and Cornell collapses into ordinary notes with wasted margins.
The Outline Method
Origin. No single inventor. The hierarchical outline is as old as formal writing instruction, built on indentation to show levels of importance.
How it works. Main topics sit at the left margin. Supporting points indent one level. Details indent further. The visual hierarchy mirrors the logical structure: bullets and sub-bullets, headings and sub-points.
Cognitive job. Outlining forces you to judge relationships as you go. Is this a main point or a detail? Does it belong under the last heading or a new one? That ongoing classification is a form of encoding, and the finished outline is a clean, scannable archive.
Best use case. Content that's already organized: textbook chapters, well-structured talks, anything with clear sections and subsections. It's fast and it reads beautifully later.
Weakness. It needs the source to be reasonably linear and hierarchical. When a speaker jumps around or ideas connect sideways rather than top-down, the outline fights you. It also under-represents non-hierarchical relationships, two ideas that link across branches look unrelated on the page.
Mind Mapping
Origin. Radial diagramming has deep roots, but the modern "mind map" was popularized by Tony Buzan in the 1970s. The core idea: put the central topic in the middle and branch outward.
How it works. Write the main subject in the center of the page. Draw branches for major themes. From each branch, draw sub-branches for related ideas. Use color, arrows, and short keywords rather than full sentences. The map grows organically in any direction.
Cognitive job. Mapping is about relationships and the big picture. Because you place ideas spatially and connect them, it surfaces links that a list hides. It leans toward encoding through active organization, and it's strong for the kind of understanding where you need to see how parts fit together.
Best use case. Brainstorming, planning, understanding a complex topic with many interconnected parts, or seeing the shape of a whole subject before exams. Good for visual thinkers.
Weakness. It's a poor fit for fast, detail-heavy linear input like a dense lecture. You can't map at speaking speed without losing detail. Maps also get messy as they grow, and dense factual material (dates, definitions, sequences) doesn't fit the radial format well.
The Charting Method
Origin. Borrowed from tables and matrices used in research and analysis; not tied to one person.
How it works. You set up columns for the categories you care about and rows for the items being compared. As information comes in, you drop each fact into the right cell. The result is a grid: think of comparing three programming languages across speed, learning curve, ecosystem, and use cases.
Cognitive job. Charting is purpose-built for comparison and pattern-spotting. The structure does the analytical work for you, gaps in the grid instantly show where you're missing information. It's a strong external-storage format because retrieval is trivial: you know exactly where each fact lives.
Best use case. Comparing options or items along consistent dimensions. Evaluating tools, weighing pros and cons, studying material that's naturally tabular (historical events by date, cause, and effect), or any decision with multiple criteria.
Weakness. It only works when the information is comparable along shared dimensions. For open-ended discussion, narrative content, or ideas that don't slot into categories, charting is the wrong tool. You also have to know your columns up front, which is hard when the structure isn't clear yet.
The Sentence Method
Origin. The most basic approach, essentially structured fast capture; no formal origin.
How it works. Write every new point on its own line, as a short sentence or fragment, often numbered. No hierarchy, no diagrams, just a running list of points in the order they arrive.
Cognitive job. Sentence notes prioritize speed and completeness over organization. They're closer to pure external storage: you capture as much as you can now and impose structure later. That makes them weaker for in-the-moment encoding, because you're transcribing more than processing, which is exactly the trap Mueller and Oppenheimer warned about.
Best use case. Fast-moving content where you can't predict the structure: rapid lectures, meetings, interviews, or anything where missing a point is worse than missing the organization. It's also a fine first pass before you reorganize into Cornell or an outline.
Weakness. The raw list is hard to study from and hard to navigate. Relationships between points are invisible, and because you're capturing rather than thinking, the learning benefit is low unless you process the notes afterward.
Zettelkasten (The Slip-Box)
Origin. German sociologist Niklas Luhmann built a paper slip-box, or Zettelkasten, of around 90,000 interlinked notes over decades and credited it with his extraordinary output. The method was popularized for a modern audience by Sönke Ahrens in How to Take Smart Notes (2017).
How it works. You write atomic notes, one idea per note, in your own words. Each note gets an ID, and you link notes to other related notes, building a web rather than a hierarchy. Over time the connections, not the folders, become the structure. New ideas emerge from the links between existing notes.
Cognitive job. Zettelkasten is the most encoding-heavy method here, and also the most ambitious external store. Writing each note in your own words is the generation effect in action. Linking forces you to relate new ideas to what you already know. The payoff isn't a single document; it's a thinking tool that compounds.
Best use case. Long-term knowledge work: research synthesis, writing, building a body of thought across months and years. It's overkill for cramming a chapter but unmatched for connecting ideas across sources over time.
Weakness. High overhead and a real learning curve. It pays off slowly, so it's poorly suited to one-off lectures or short-term exam prep. Done carelessly it becomes a graveyard of disconnected notes, the link discipline is the whole point, and it's the hardest part to maintain.
A quick note on categories: people sometimes file PARA (Projects, Areas, Resources, Archives) alongside these. PARA is an organization system for your files and notes, not a note-taking method. It tells you where to put a note, not how to take one. Keep the two ideas separate.
Side-by-Side Comparison
Here's how the six methods stack up. "Encoding vs storage lean" tells you which of the two jobs each method is built for.
| Method | How it works | Best for | Weakness | Encoding vs storage lean |
|---|---|---|---|---|
| Cornell | Cue column + notes + summary; review by covering notes | Lectures and readings you'll be tested on | Needs linear input; useless without the review step | Balanced (capture + forced review) |
| Outline | Indented hierarchy of topics and sub-points | Well-structured talks and textbook chapters | Fails on non-linear or cross-linked ideas | Balanced, leans storage |
| Mind Mapping | Central topic with radial branches and links | Brainstorming, seeing the big picture, connections | Too slow for dense linear input; gets messy | Encoding (active organization) |
| Charting | Grid of rows (items) and columns (criteria) | Comparing options across shared dimensions | Only works when data is comparable | Storage (easy retrieval) |
| Sentence | Running numbered list of points | Fast meetings, interviews, rapid lectures | Hard to study; relationships invisible | Storage (raw capture) |
| Zettelkasten | Atomic, self-written, interlinked notes | Long-term research and writing | High overhead; slow payoff | Encoding (heavy), compounding store |
The pattern is clear. If your goal is to learn now, lean toward methods that make you process (Cornell, Mapping, Zettelkasten). If your goal is to capture now and use later, lean toward methods that store cleanly (Charting, Sentence, Outline). The best note-takers switch deliberately.
A Decision Framework: Method by Situation
Forget "which method is best." Ask "what's the input, and what will I do with the notes?" Here's a practical map.
Live lecture, fast pace, will be tested. Start with the Sentence method to keep up, then convert to Cornell afterward. The conversion is itself a review pass, and the cue column sets up active recall. If the lecture is conceptual and interconnected rather than fact-dense, a mind map can work better.
Textbook or structured reading. Use the Outline method. The source is already hierarchical, so an outline mirrors it cleanly and reads well later. Highlight as you read first, then outline from what you marked.
Meeting or interview. Sentence method. You can't predict the structure, and missing a decision or action item is the real cost. Reorganize into a summary afterward if it matters.
Research synthesis across many sources. Zettelkasten. This is the job it was built for: atomic notes in your own words, linked across sources, building a body of thought you can write from. Pair it with strong capture so each source feeds the slip-box.
Comparing options (tools, products, plans, theories). Charting. The grid forces the comparison and exposes gaps. This is also the format that maps directly onto a decision.
Understanding one complex topic before an exam. Mind map for the big picture, then Cornell for the testable details. Two methods, two jobs.
Notice the recurring move: capture fast and raw in the moment, then process into a method that fits the goal. And every one of these starts with the same prerequisite, which is the step people skip.
Capture is the hidden first step. You can't take good notes on what you never marked. When you're reading an article or watching a lecture video, the moment you notice something matters is the moment to grab it, before it's gone. That's where highlighting comes in. Marking key passages with Glasp's web highlighter gives you the raw material that feeds any method above. When it's time to build your notes, you export your highlights straight into your Cornell sheet, outline, or Zettelkasten instead of re-hunting the source.
This matters most for inputs that are hard to re-scan. For video lectures and talks, YouTube Summary turns hours of footage into a structured set of takeaways you can pour into a mind map or chart. For books, Kindle highlights pull your marked passages out of the reader and into your system. The principle holds across all of them: methods organize, highlighting captures. If you want the science behind why marking the right things matters, see our piece on the science of highlighting, and for turning notes into durable memory, our guide to active recall.
Frequently Asked Questions
What is the best note-taking method?
There isn't one. The best method depends on the input and your goal. For lectures you'll be tested on, Cornell is hard to beat because it builds in review. For comparing options, charting wins. For long-term research, Zettelkasten. The real skill is matching the method to the situation, and being willing to use two methods on the same material (fast capture now, structured processing later).
Is handwriting better than typing for notes?
It's contested. Mueller and Oppenheimer's 2014 study found handwriting helped conceptual recall, arguing that typists transcribe word for word while handwriters are forced to summarize. But later replications, including Morehead and colleagues in 2019, were mixed. The reliable takeaway isn't "always handwrite," it's "always process." If typing tempts you to transcribe verbatim, slow down and summarize in your own words. That processing, not the tool, is what drives learning.
What's the difference between Cornell and Zettelkasten?
Cornell is a per-session study format: capture a lecture, add cues, self-test. Zettelkasten is a lifelong knowledge system: atomic, linked notes that connect ideas across many sources over time. Cornell optimizes for retaining one body of material for a test. Zettelkasten optimizes for synthesizing and generating new ideas across years. Different jobs entirely.
Is mind mapping good for studying?
Yes, for the right material. Mind maps excel at showing how parts of a topic connect, which helps with understanding and the big picture. They're weak for dense, fact-heavy memorization (dates, definitions, sequences) and too slow to keep up with a fast lecture in real time. A common pattern: map for understanding, then Cornell or flashcards for the testable details.
Where does highlighting fit into all this?
Highlighting is the capture step, not a note-taking method itself. You mark what matters while reading or watching, then feed those highlights into whichever method fits your goal. It solves the most common failure point: trying to take notes on material you didn't capture well in the first place. Capture with a highlighter, organize with a method.
Conclusion
Stop choosing note-taking methods by which one looks tidiest. Choose by the two jobs notes actually do. If you need to learn it now, pick a method that makes you process it (Cornell, Mapping, Zettelkasten). If you need to capture it now and use it later, pick one that stores cleanly (Charting, Sentence, Outline). Most real work calls for both: fast capture in the moment, deliberate processing afterward.
And remember the science is honest, not absolute. The generation effect is real, processing beats transcribing, but "handwriting always wins" is an overclaim that didn't replicate cleanly. Use the tool that lets you think, not transcribe.
Every method runs on the same fuel: what you captured. That's the step to get right first. Start marking what matters with Glasp's web highlighter, then export your highlights into the system that fits the job. Pull lecture takeaways with YouTube Summary and book passages with Kindle highlights. For building a lasting system from your notes, read how to take smart notes and building a second brain.
Methods organize. Highlighting captures. Get the capture right, and every method works better.