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Looking at when to use surveys relative to 
the product or service lifecycle?

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Well, you might have an existing solution and for that you 
may well want to consider a survey after every

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*major release*; or perhaps on a *calendar basis*,

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every quarter you might run a customer satisfaction or a user satisfaction survey.

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And that allows you to keep a pulse on things to know how your offerings are faring

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in your users' or customers' eyes.

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If you have specific ideas for improvements,

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you can also ask users about that, ask customers to tell you

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the sorts of things your competitors are doing that they like or perhaps

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ask them about *sticking points* in your current solutions:

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what is it that they find problematic, where would they like to see improvements?

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And, of course, in those kinds of areas, you are talking more about open-ended.

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But certainly, if you've got a list of things that your 
competitors are doing, it's very easy to ask people

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whether they would be interested or would find 
those particular features useful.

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For new solutions, you often end up using quantitative research,

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which is what a survey is, to what we call "triangulate" –

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get extra data about – back up – qualitative research that you've done.

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So, you might have gone out and done some contextual inquiry

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and you might have some really exciting ideas about new product directions,

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and you want to make sure that that makes sense for the majority of your customer base.

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You wouldn't just go out on the strength of a dozen interviews

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and launch a new product or major revisions to a product 
or service.

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So, the use of a survey is really almost essential in those kinds of cases.

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*Alternatives* – I mentioned contextual inquiry.

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The great thing about contextual inquiry is that it's grounded.

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We go out and speak to real people about real situations

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in a fairly – what's called – *ethnographic way*.

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So, we're trying to do it in their own settings, where they 
would be using this product or service.

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And a contextual inquiry is *extremely exploratory*.

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So, if you start hearing about certain

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ideas on a regular basis, you can start asking *more* about that

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and try to expand the scope of your inquiries to cover these new concepts

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and find out a lot more about the product or service that you should be providing,

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as opposed to the one that you perhaps currently are or were planning to.

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*Semi-structured interviews* – well, these are a really 
important part of most qualitative research and, 

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in fact, is used in contextual inquiry as well, but 
they aren't necessarily as well grounded.

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We don't necessarily go out into the user's environment 
to do those, but

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one of the attractions there is that we can start off in both of these examples

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– contextual inquiry and semi-structured interviews –

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start off with a collection of initial questions and then explore from those.

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So, we might have only a short list of topics that we definitely wanted to cover

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and we'll let the conversation ramble into interesting connected areas

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– not just ramble in general, by the way; "interesting connected areas" is an important part of that.

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You want to make sure that you're still within the focus of your inquiry, of your research.

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*Card sorting* – it's really good for early research for finding the relationships between concepts.

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We've got concepts on cards, and we ask people to sort those cards

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into groups, either of their own creation, so they're allowed to make the groups up themselves – that's called an *open sort* –

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or a *closed sort*, where we provide the groups and we want to see if people agree

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with where they're putting things;

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and in between, of course, those two is something that I call a *hybrid sort*.

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It has different names.

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And there are other early-testing tools, which we do talk about elsewhere.

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Those are, I should say, *tree sorting* or *tree testing* and *first-click testing*,

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where we're trying out very specific things; we 
give users a goal, and we try to see how they

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address that goal with the solutions that we're thinking of providing.

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So, in the case of tree sorting, it's actually *menu testing*.

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So, the tree is the menu, and we say, "Where would you find this?"  /

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"How would you do this on this site?" and you show them 
the menus a step at a time.

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And there is no site yet. There's just a listing of the menu items 
in a step-by-step progression.

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So, they're shown the top-level menus, they're shown the second-level menus, etc., as they navigate through.

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So, it's really easy to do and you get some really good hard data 
out of that.

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And, similarly, with first-click testing, you might have just wireframes or really early prototypes;

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it can even be sketchings and you ask people to try to achieve a goal with these designs.

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You record where they click and how they try to achieve that.

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So, it's actually first-click testing is the most interesting part of that:

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Where do they focus their attention initially when trying to achieve those goals?

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So, these are all alternatives to asking people about things.

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And, of course, in these latter cases

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we're talking about seeing people do things 
rather than asking them their opinions,

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which is a much more reliable way of getting data

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– not that surveys are entirely unreliable; that's not the case –

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but first-hand information about what people 
do rather than what they talk about doing

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is much safer.

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And this is a pretty typical field-working experience.

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The guy on the right has a PDA or phone.

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Hopefully, it's a multiple-choice questionnaire 
he's asking because it's really very hard

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to make notes on a device like that, but

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this is the kind of situation where you can direct the

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questioning according to how the participant is answering.

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So, this is an alternative to surveys.
