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challenge · 30 Jan 2026 · 8 min read

How I Judge What Makes a Jigsaw Puzzle Difficult

My framework for separating piece count from visual complexity, based on the images and generated boards used by JPW Games.

By JPW Games Developer · Updated 25 July 2026

I do not use piece count as the whole answer

When I assign or review a difficulty, I begin with the board size, but I also inspect the image. A larger grid creates more candidates and smaller fragments. It does not guarantee that every decision is hard. A clear image with many distinctive regions can be easier to organise than a smaller image made from one repeated texture.

JPW Games currently generates 25 pieces for Easy, 64 for Medium, 100 for Hard, and 144 for Expert. I treat those labels as product tiers. Within a tier, the picture still changes the real experience.

I look for visual landmarks

A landmark is any detail I can identify and place quickly: a face, a red barn, a bridge, a bright balloon, or a strong horizon. Images with several separated landmarks give me natural starting groups.

Hot Air Balloons is a good example. Each balloon can become an anchor, and the open sky separates those coloured shapes. In a dense carpet pattern, many fragments contain plausible motifs without revealing exactly where they belong.

I therefore ask how many pieces contain unique information. If most pieces look interchangeable at first glance, the puzzle demands a longer search.

I measure repetition

Repeated windows, leaves, petals, stones, waves, and decorative motifs reduce certainty. A piece may clearly belong to a building or field but still have many possible positions within that region.

My most demanding catalogue images combine repetition with a large board:

  • Persian Carpet repeats shapes and colours across a symmetrical design.
  • Sunflower Field repeats similar flowers and stems.
  • New York City and Singapore Marina contain dense architectural detail.
  • Northern Lights includes broad dark areas and smooth colour transitions.
  • Fruit Basket crowds many rounded objects, leaves, and highlights together.

I do not claim this ranking comes from a player experiment. It is my editorial assessment of the source images and the game grid.

I check contrast and boundaries

Strong boundaries make classification easier. A white waterfall against dark rock gives me a clear region even when the water itself contains subtle texture. A pale sky fading gradually from one blue to another offers fewer decisive lines.

I look for:

  • High contrast between neighbouring regions.
  • Long continuous lines, such as roofs or horizons.
  • Changes in texture, such as water meeting rock.
  • Distinctive colours that appear in only one part of the image.

If those signals are weak, I expect the solver to rely on smaller differences and more repeated scanning.

I account for the centre crop

The game converts each source image into a centred square before slicing it. That can change difficulty. A landmark near the original edge may disappear, leaving more sky, foliage, or background texture than the uncropped preview suggests.

This is why I should evaluate the exact board crop, not only the original file. It is also why per-image focal points would improve both composition and difficulty consistency.

I consider the device

A 144-piece board does not feel identical on a large monitor and a phone. On a smaller screen, each tile occupies fewer physical pixels, finger input can cover the target, and zoom becomes part of the task.

I separate image difficulty from interaction difficulty. If touch controls or small targets make an otherwise clear picture hard, that is a usability issue I should improve rather than celebrate as an expert challenge.

I distinguish fair difficulty from friction

I consider a puzzle fairly difficult when the image provides subtle but discoverable clues. I consider it frustrating when the interface hides necessary information, the crop removes the subject, the image is too compressed, or a drag gesture behaves unpredictably.

That distinction guides my development work. Repetition and gradients can be intentional challenge. Broken input and misleading counts are defects.

My practical rating checklist

When I review a puzzle, I ask:

  • How many pieces are generated in the live game?
  • How many unique landmarks survive the square crop?
  • How much of the image is repeated texture or smooth gradient?
  • Are there clear boundaries between major regions?
  • Does the board remain usable on both touch and mouse input?
  • Does the assigned label match nearby puzzles in the same tier?

I use the answers together. I would rather adjust a label after looking at the actual board than defend a category chosen from piece count alone.

Try the contrast yourself

I suggest comparing Hot Air Balloons with Persian Carpet. The difference is not merely grid size: one image offers isolated landmarks, while the other asks me to distinguish repeated motifs. For a gradient challenge, I use Northern Lights; for dense architecture, I use Singapore Marina.