Pairwise study · pairwise comparison

Which of these matters most?

Pairwise ranks your list of needs by importance and satisfaction, from quick two-at-a-time choices, and plots them on an opportunity matrix. See the unmet needs worth building for.

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How it works

From a list of needs to a clear decision.

1

Add your needs

Type your list of needs, features or jobs to be done. Or bring in the groups from a card sort in one click, named and described by Graham.

2

Participants choose

Each person makes quick two-at-a-time choices, one tap each, built for the phone in their hand. It takes a few minutes and needs no account.

3

Read the matrix

Every need lands on an opportunity matrix, ranked by opportunity, with a confidence range and Graham's report.

What your participants see

Two options. One easy choice.

Most people do this on their phone, and the two-at-a-time format is made for it. One tap picks the winner. No sliders, no long grids, no research jargon. That simple choice, repeated, is what makes the ranking reliable.

  • Built for the phone in their hand, where most people are
  • A few minutes to finish, so completion rates hold up
  • No account, and an optional screener to reach the right people
The pairwise two-at-a-time compare screen on a phone
Two needs at a time, on the phone in their hand.
What you see

An opportunity matrix you can act on.

Every need is measured twice. One group of people tells you how much it matters. Another tells you how well it is met today. Plot the two together and the opportunities appear in the top left: the needs people care about a lot and are underserved on.

  • An opportunity ranking you can take straight into a roadmap
  • A confidence range on every score, so you know what is solid
  • Quality checks and segments, so you can trust and slice the data
An opportunity matrix plotting 20 sportswear needs by importance and satisfaction, with a numbered legend of the needs
Needs in the top left are the biggest opportunities.
Graham

Graham writes the report

When the responses are in, Graham turns the matrix into a client-ready insight report, so you can share a clear decision with the data behind it.

  • The headline story, the top opportunities, and clear next steps
  • An honest note on data quality, so you know what to trust
  • Download as Word, PowerPoint, PDF or CSV
Better together

Build a pairwise from a card sort.

Already run a card sort? Turn its final groups into a pairwise study in one click. Graham brings the group names and descriptions across, so a long list of raw needs becomes a short list of themes, ranked by opportunity, without retyping a thing.

See card sorting
Card sort groups Stays dry Chafe-free Fit and sizing Durability → Pairwise items Stays dry Chafe-free Fit and sizing Durability
One click carries the groups across, named and described.
When to use pairwise

Reach for pairwise when you already have the list.

Use pairwise to decide what to build first, to prioritize needs, features or jobs to be done, and to find the unmet needs customers care about but are underserved on. If you are still discovering how customers group a messy list, start with a card sort, then bring the themes here. If the question is whether people can find something once it is in your navigation, that is a Findability study, not a prioritization one.

Questions

Pairwise, answered.

What is a pairwise comparison survey?

It shows participants two items at a time and asks which matters more. A run of quick, easy choices adds up to a reliable ranking of the whole list, without asking anyone to rate twenty things on a scale they will not use consistently.

What is an opportunity matrix?

A plot of every need by how important it is against how well it is met today. The needs that are important and poorly served are your unmet needs, and that quadrant is where the opportunity sits.

Should I use pairwise or Best-Worst (MaxDiff)?

Use pairwise when you want importance and satisfaction together, so you can find gaps rather than just an order. Use Best-Worst when the list is long and you want one clean, forced ranking of what matters most.

How many participants do I need?

Around 30 completed responses per dimension for a directional read, and 100 or more per dimension before you bet a roadmap on it. Measured against our own scoring, pairwise needs about twice what a card sort does, because each person sees each item only three times. At 30 the ranking is solid, but roughly one need in four still lands in the wrong quadrant of the opportunity matrix, and that is what you decide from.

Can I build a pairwise study from a card sort?

Yes, in one click. Graham carries the sort's group names and descriptions across as the items to rank, so nothing is retyped and nothing is lost in translation.

How long does it take a participant?

Each choice is two options and one tap, and the flow is built for the phone in their hand. That is why people finish it, which is the part that decides whether your data is any good.

Rank your needs, free

Set up a pairwise study today. Graham will help you get going.

Start your free study