The Typing Learning Curve, Week by Week

If you already type at any usable rate, your first week of touch typing will be slower than not doing it. Considerably slower — it is common to drop to a small fraction of a previous hunt-and-peck speed, and the drop is not a sign that something has gone wrong.

The reason is that you are not adding a skill to an empty slot. You are replacing a set of movements you have made hundreds of thousands of times with a different set, and the old one is faster right now precisely because of all that repetition. Nothing about the new arrangement can compete with it in week one.

What is actually happening during this week is that eight fingers are learning eight resting positions and the immediate keys around them. That is a small amount of information and it arrives quickly — which is why the second week feels dramatically better than the first, and why so many people quit in between.

This is the steepest stretch and the most satisfying. Knowing where keys are is a large, discrete gain, and it arrives in chunks — a row at a time, roughly matching the order of the practice path.

Speed climbs quickly here for a straightforward reason: the alternative was locating each key visually, and almost anything beats that. The gain in this window is not from your fingers getting faster; it is from removing the visual lookup entirely. It feels like rapid improvement, and it genuinely is, but it is a one-time gain from a specific change rather than the start of a trend.

That distinction is what catches people out next. If you attribute this stretch to the practice rather than to the elimination of looking, then when the same practice stops producing the same gains you will conclude the practice stopped working.

After the keys are known, the visible improvement slows sharply and stays slow for a long time. Weeks of consistent practice can pass with the headline figure moving very little, and this is where most people stop.

What is happening underneath is not nothing. Individual keystrokes are being replaced by chunks — sequences your hands execute as single motions rather than as separate decisions. Common letter pairs go first, then frequent word endings, then whole short words. This is real and it compounds, but it improves speed gradually and unevenly rather than in the visible steps of the first month.

There is also a measurement problem making it look worse than it is. The single speed figure is the bluntest of the numbers available, and several sharper ones are moving underneath it while it sits still. Which ones, and how to read them, is set out in why typing speed plateaus — but the short version is that if the headline figure is all you record, you have chosen the measure least able to show you progress.

The practical response is to measure something else as well. Per-key error rates on a weak-key diagnostic move detectably in a fortnight when overall speed does not.

Accuracy leads speed at every stage, and the reason is arithmetic rather than discipline.

An error costs far more than the keystroke that produced it. You have to notice it, stop, remove the wrong characters, retype them, and re-establish rhythm. That total is several times the cost of having typed it correctly, which means a modest reduction in error rate buys more than a large increase in raw finger speed. The full calculation is worked through in accuracy versus speed.

The consequence for the curve is that trying to force speed early does not merely fail, it costs. Typing above the pace at which you are accurate rehearses imprecise movement, and imprecise movement is what you will have to unlearn later. This is why deliberately slowing down is a lesson rather than an aside — the counter-intuitive move genuinely is the faster route.

Some things stay hard long after ordinary prose has become comfortable, and their lateness is predictable rather than personal.

The rare letters go last. Q, Z, X and J appear so infrequently in English that ordinary typing supplies very few repetitions of them, so they remain deliberate long after E and T are automatic — which is exactly what the problem keys drill exists to correct.

Numbers go last as well, for a related reason: the number row is learned late, drilled least, and offers no word shape to anticipate from. Almost everyone is dramatically slower on digits than letters, which the numbers test will show you directly.

And symbols go last of all, because most curricula never reach them at all. If your work involves them — code, addresses, spreadsheets — they will not arrive on their own and need separate deliberate attention.

Once the keys are automatic, further gains come in steps rather than smoothly, and the steps come from changing something rather than from more of the same.

A plateau followed by a jump is the normal pattern here, and the jump usually follows a technique change — a rhythm that evens out, a hand that stops drifting, a chunk that finally consolidates. This is the point at which the honest question stops being how much to practise and becomes what to practise, which is the subject of why typing speed plateaus.

It is also the point at which it is reasonable to ask whether to continue at all. Improvement gets steadily more expensive from here and steadily less noticeable in ordinary use, and there is no obligation to keep climbing — stopping at a speed that comfortably exceeds what you need is a finished project rather than an abandoned one. Whether the upper reaches are worth the hours is argued out in is 120 WPM worth chasing.