Stage 3 of the 7 that we’ll cover in this series actually sees the user start to interact with the search tool.
Hooray.
By the time they have reached this stage some quick fire assumptions have been made subconsciously about what is on offer and how it all works and some implicit and possibly explicit preferences have kicked in. These soft preferences are driven by the default state of search options or user profile (Safe Search on/off, 50 results displayed, etc).
But we now arrive at the moment where users start to create a search query using the form elements presented to them on the page, but as we do so, please bare in mind the mental models I told you about in the Introduction to this series.
This is where we see just how ‘intuitive’ the design really is.
Some search devices are good at helping their users to structure a search query because they break
up the search string into specific requests for information. These are generally known as ‘fielded
searches’ or ’structured searches’ and they control the user input to such an extent, that in theory at least, chances of a successful search result set are improved. You may also see these searches called ‘parametric searches’ where there are a distinct set of parameters from which to choose and you’ll find these more convoluted offerings on car sites and the like. Here is a couple for you to play with:
Yell.com (the UK Yellow Pages business directory company (who own Yellowbook USA btw and is the largest YP in the world)) has a structured search which requests any combination of up to three pieces of information; business type (i.e. plumbers), business name (i.e. Acme Plumbing) and Location (i.e. postcode or any place name).
Of course, this approach works well if your data is structured, but of course, not all of it is and this is why the user experience varies from search to search.
More common among traditional search engines is a single search entry field that spans the central area of the page, more commonly nowadays (following Google’s lead) you’ll see these fields along with a variety of indicies across the top from which to choose; Web, Images, News, Blogs, Groups, Whatever.
This is an age old approach that pretty much acts as the blueprint for search engine design patterns but I can’t help thinking that people still feel like they’re shooting in the dark a bit.
Users often make claims that they have to ‘learn how it works’ - which as a search strategy and a user experience isn’t particularly wonderful. This may also be why people tend to be fairly loyal to any given search tool – they’ve ‘learnt it’.
A9 has a search entry field that spans right across the page, but in trying to be different, probably offers up more complications and cognitive effort than ease of use as it displays some search indicies that simply aren’t clear.
Where I’m getting to is this, when users interact with a search tool, they can either enter a lot of information upfront and have targetted results, or they can enter a small amount of information and then ‘be in the ball park’.
Google operates in the second way, and if you have read the introduction to this series you will realise that this can be a poor user experience and is why I don’t think Google is a great experience.
Oooo. Did I just say that? Yes, and I’ll fill you in on the detail as to why later.
But essentially, if you have a number of inter-related search queries, a la mental model 2 or 3, say searching for a good recipe for thai green curry or planning a holiday to Malaysia, then Google isn’t very good at tying these things together. Instead each query is singular and the adjustments are made by the user. It just so happens that most adjustments can be made by the user within the first search results page (SERP) as they are so well designed.
Have a look at Yahooo! and Google when searching fo rthe term ‘Malaysia’.
See how Yahoo! offers up, above the first result, an entry marked with ‘Y!’? That’s a Yahoo shortcut that rather helpfully second guesses what it is the user is after. Google, is rather hapless and unhelpful with the same query as they don’t have the content to display in the way Yahoo! does.
Other stages yet to cover:
- Error Prevention and Correction
- Browsing Results
- Refining Results
- Discovering More