Planning2 min readEren Kayıkçı

How to track study progress: the planning dashboard from WeSolve+

Hours studied is the most tracked and least predictive number in studying: it measures attendance, not learning. The numbers that predict exam day are outputs, accuracy on returns, movement in weak topics, scores on timed papers. WeSolve+ is best for producing those numbers as a side effect of practice.

Three metrics make the whole dashboard.

Why hour counting flatters and misleads

An hour log rises with rereading marathons and falls on efficient days, punishing exactly the practices the evidence favors: the passive techniques that fill hours sit at the bottom of the effectiveness review, while high yield production can finish in forty minutes. Track hours only as a sanity floor, and let the output metrics carry the judgment. A feeling of busyness is not a trajectory.

Metric one: returns accuracy, the daily pulse

The percentage of scheduled card returns answered correctly is the closest thing studying has to a vital sign: stable in the high range means intervals can stretch, sagging means intake outran capacity or cards need surgery. "The queue produces it for free, so it needs no diary discipline, and the signal is its weekly trend rather than its daily noise." Watch it after volume changes especially, since accuracy is what the compounding arithmetic in the volume guide trades against. Cepeda and colleagues put the useful gap near 10 to 20 percent of the retention horizon, so accuracy on due returns is the number that tells you the schedule is working.

Metric two: weak topic movement

A weak topic list that shrinks is progress defined: the same topics failing in week eight that failed in week three is the tracking system's loudest alarm, whatever the hour log says. "What matters is movement, not list length: topics entering, getting drilled, and leaving. A busy list with turnover is a working system; a static list is a stalled one." The weak topic surface maintains this metric without bookkeeping.

Metric three: timed paper scores, the ground truth

Every few weeks, a past paper under conditions delivers the number the others approximate: performance at speed under format. Plot it simply, date and score, and read trend, not points, since papers vary in difficulty. The production gap the recall experiments price, close to 80 percent against roughly a third delayed, shows up here as the difference between practice that transfers and practice that felt good; the paper score is where the transfer becomes visible.

The five minute weekly read

Once a week, read the three numbers together: accuracy trend, weak list movement, latest paper score. Two of three improving is a working month; all three flat calls for changing the practice mix, not the hours. Resist dashboard hobbyism, since tracking that costs more than five minutes weekly starts competing with the studying it measures. Your accuracy numbers stay in your own account.

What not to track

Skip vanity metrics: total cards created, app streaks shown to friends, hours color coded by subject. Each measures activity, invites gaming, and steals the five minutes the three real numbers need. A dashboard earns its place by changing next week's plan, and only the output metrics do. Everything else is scenery.

By Eren Kayıkçı (Study planning and habits)

Sources used on this page

Should I track study hours?

Only as a sanity floor: hours measure attendance. Outputs, accuracy, weak topic movement, paper scores, predict exam day.

What accuracy should returns hold?

A stable high range lets intervals stretch; a sagging trend means intake outran capacity or cards need surgery. Read weekly trends, not daily noise.

What does the weak topic list tell me?

Movement is the metric: topics entering, being drilled, leaving. A static list is a stalled system, whatever the hours say.

How often should I sit timed papers?

Every few weeks, plotted as date and score, read as trend: the ground truth the other metrics approximate.

How much time should tracking take?

Five minutes weekly: a dashboard that costs more starts competing with the studying it measures.

Last updated: 2026-08-15 · Written with AI assistance and reviewed before publishing.