Feature

Know why you missed it, not just what you missed.

LoopdMed organizes mistakes by cause so students can separate content gaps from test-taking habits and build a cleaner review loop.

Separate misread stems, logic flaws, and content gaps.

Track repeated error patterns across practice blocks.

Prioritize the habits that are costing the most points.

How it works

From missed question to mastered concept.

Four seamless steps designed to sit right beside your daily practice blocks.

01

Log your missed question

Snap or paste the question you missed from UWorld, AAMC, Amboss, or class exams. Drop it straight in.

02

Tag error reason & source

Categorize why you missed it (Misread Stem, Logic Flaw, or Content Gap) and tag the topic or organ system.

03

Extract the core rule

Distill the explanation into a single, high-yield takeaway rule that solves future question variations.

04

Review on a schedule that sticks

FSRS-powered scheduling brings the rule back through active recall, adapting future timing as your review history grows.

Separate knowledge gaps from execution errors

Two missed questions can look identical in a score report and mean totally different things. LoopdMed helps you tag the underlying cause so review time goes to the right fix.

  • + Content Gap: the rule or fact was missing.
  • + Logic Flaw: the reasoning path broke down.
  • + Misread Stem: the question was understood incorrectly.

Use patterns to guide the next block

Once misses are categorized, the next study decision gets easier. Students can target weak reasoning habits, review high-yield content, or slow down on stem interpretation.

  • + Review by error cause before repeating full practice sets.
  • + See which misses recur across exam sections.
  • + Make tutoring, study groups, and solo review more focused.

Tag the cause, then preserve the mechanism

A category makes mistakes sortable, but the sentence beneath the category makes them useful. Pair each tag with a short explanation of why the wrong answer looked reasonable at the time.

  • + Write the decision point where your reasoning changed direction.
  • + Record the qualifier, graph feature, or passage clue you failed to use.
  • + Avoid labels such as careless unless you can name the repeatable behavior.

Match each error type to a different repair

A useful taxonomy changes what you do next. Relearning a chapter will not fix a rushed stem read, and a reading checklist will not replace a missing physiology rule.

  • + Content Gap: repair the narrow concept, then test it from memory.
  • + Logic Flaw: reconstruct the inference and practice the rule in a new context.
  • + Misread Stem: identify the missed language and create a repeatable reading check.

Read trends across subjects and time

Topic reports show where errors occurred. Error-reason trends show how they occurred. Looking across both dimensions helps separate an isolated miss from a study habit that follows you between sections.

  • + Compare error reasons across several practice blocks, not one difficult session.
  • + Look for the same reasoning mechanism under different subject labels.
  • + Track whether a chosen intervention reduces that pattern over time.
The workflow

How to classify a missed practice question

Choose the earliest cause that best explains the miss. The goal is not to assign blame; it is to select the repair most likely to prevent a repeat.

  1. 1

    Re-answer without the clock

    Before reading the explanation, try the question again. If the answer is still unavailable, a content gap is more likely. If it becomes clear, inspect the original execution.

  2. 2

    Find the broken step

    Identify whether you lacked knowledge, made an unsupported inference, or overlooked language or evidence that was present in the stem.

  3. 3

    Add one primary tag

    Use Content Gap, Logic Flaw, or Misread Stem as the main category. Add topic and exam tags separately so the cause does not get buried.

  4. 4

    Choose the repair

    Create a focused recall prompt, a new reasoning drill, or a reading checkpoint that directly addresses the failure you recorded.

Illustrative example

One topic can produce three different errors

Suppose a question requires recognizing that competitive inhibition increases apparent Km without changing Vmax. The topic is identical, but the correct repair depends on why the student missed it.

Content gap
The student cannot state how competitive inhibition changes Km and Vmax. Repair: learn the relationship and retrieve it from a fresh prompt.
Logic flaw
The student knows the relationship but assumes every inhibitor lowers Vmax. Repair: practice checking whether additional substrate can overcome the effect.
Misread stem
The student overlooks the phrase excess substrate. Repair: build a final-line check for conditions and qualifiers before choosing an answer.
Pattern signal
If the same missed-qualifier behavior appears in physics, biology, and CARS, the cross-subject pattern matters more than another enzyme-kinetics review.

Topic tells you what the question tested. Error taxonomy tells you which behavior or knowledge gap to change before the next question.

Common questions

Frequently asked questions

What is an error taxonomy for practice questions?

It is a consistent set of labels for why questions went wrong. LoopdMed starts with three broad causes—Content Gap, Logic Flaw, and Misread Stem—then keeps subject and exam information as separate context.

Can a question have more than one error type?

Yes, but choose the earliest or most important cause as the primary tag. If missing knowledge forced a later guess, the content gap is usually more actionable than labeling both the guess and the final misread.

Is carelessness a useful error category?

Only when it is made specific. Replace careless with the observable behavior: missed a negative qualifier, skipped units, changed an answer without evidence, or committed before checking the full graph.

How many mistakes are needed before a pattern matters?

Avoid rebuilding your study plan around one session. Look for the same mechanism across multiple blocks or dates, then test one targeted change and watch whether the pattern becomes less frequent.

Does error tagging replace content review?

No. It helps decide when content review is the correct intervention. A true content gap still needs focused learning; the taxonomy prevents every miss from being treated as if a whole chapter must be relearned.