53
DATA: DIGGING DEEPER & DISPLAYING JEFF WISNIEWSKI WEB SERVICES LIBRARIAN UNIVERSITY OF PITTSBURGH

Data: Digging Deeper and Displaying

Embed Size (px)

DESCRIPTION

Data you gather is just data until it is analyzed, interpreted, and conveyed in a meaningful way. With Google Analytics incorrect conclusions can be drawn without doing an in-depth analysis. Wisniewski provides a framework for accurately assessing the data to make informed design decisions in combination with other user tests, surveys and focus groups.

Citation preview

Page 1: Data: Digging Deeper and Displaying

DATA: DIGGING DEEPER & DISPLAYING

JEFF WISNIEWSKI

WEB SERVICES LIBRARIAN

UNIVERSITY OF PITTSBURGH

Page 2: Data: Digging Deeper and Displaying

WHAT YOU INTERPRET IS WHAT U GET

Page 3: Data: Digging Deeper and Displaying
Page 4: Data: Digging Deeper and Displaying
Page 5: Data: Digging Deeper and Displaying

THE BIG PICTURE IS TOO BIG

Page 6: Data: Digging Deeper and Displaying

THE BIG PICTURE IS TOO BIG

Segment your site by:

Type of content aka your goals (more on this later)

Users’ goals

Page 7: Data: Digging Deeper and Displaying

WAYS THAT YOUR QUALITATIVE DATA IS WRONG(ISH)

Page 8: Data: Digging Deeper and Displaying
Page 9: Data: Digging Deeper and Displaying

ARE YOU FILTERING IRRELEVANT TRAFFIC?

Staff IPs

Page 10: Data: Digging Deeper and Displaying

BEWARE THE OUTLIER

Average Time on Page:

This is the average amount of time that all users spent on the specific page within the date range.

Simple, but remember this information can be easily skewed by the extreme boundaries of the results.

For example, say you had 10 people come to a Web page and this is how long they stayed on the page:

Page 11: Data: Digging Deeper and Displaying

Person Time on page

1 2:23

2 2:12

3 1:39

4 40:44

5 1:49

6 2:01

7 1:33

8 2:09

9 1:17

10 1:56

BEWARE THE OUTLIER

Page 12: Data: Digging Deeper and Displaying

If you add up the total amount of time you get 57:43 and then divide that 10 and you get an average time on page of about

6 minutes and 3 seconds.

Page 13: Data: Digging Deeper and Displaying

THE BOUNCE RATE MYTH

We link to a LOT of third party sites from our websites:

Catalogs

Discovery tools

Overdrive

Databases

LibGuides

Book review sites

Page 14: Data: Digging Deeper and Displaying

THE BOUNCE RATE MYTH

A user who visits your homepage and then visits one of these places has

Page 15: Data: Digging Deeper and Displaying

WHEN THE COOKIE CRUMBLES*New vs Returning users relies on cookies.

• Up to 66% of users user multiple devices

• App. 30% of users deleted cookies deleted in a one month period

*I stole this title from the comscore article of the same name because I liked it

http://www.comscore.com/Insights/Blog/When_the_Cookie_Crumbles

Page 16: Data: Digging Deeper and Displaying

TIPS

Dig deeper

Provide context

Whenever possible visually display results

Page 17: Data: Digging Deeper and Displaying

IT’S THE DIFFERENCE BETWEEN A

PAGE-centric view

And a

USER-centric view

Page 18: Data: Digging Deeper and Displaying

http://boxesandarrows.com/ux-design-planning-not-one-man-show/

Page 19: Data: Digging Deeper and Displaying

FORBES MAGAZINE SAYS:

“If You Think A Web Analytics Tool Is Enough, Think Again”

(and if Forbes says it it MUST be true)

http://www.forbes.com/sites/davidwilliams/2012/04/16/if-you-think-a-web-analytics-tool-is-enough-think-again/

Page 20: Data: Digging Deeper and Displaying

SIGH

Quantative is (relatively) easy

Qualitative is hard (er)

Page 21: Data: Digging Deeper and Displaying

YOUR SITE

Needs to have SMART goals

Specific

Measurable

Attainable

Relevant

Timely

Page 22: Data: Digging Deeper and Displaying

THESE GOALS SHOULD COME FROM TWO PLACES

Business objectives

• Yours or your parent organization’s mission and goals

User goals and objectives

• But how do I know what users want?

Page 23: Data: Digging Deeper and Displaying

SOURCES OF INSIGHT

Global: Pew, Forrester, OCLC, etc.

Local: Your users

Page 24: Data: Digging Deeper and Displaying

ASK THEM

Page 25: Data: Digging Deeper and Displaying

USER INTERVIEWS AND PERSONAS

A persona is a fictional person who represents a major user group for your site.

Personas help you identify major user groups of your Web site.

You select the characteristics that are most representative of those groups and turn them into a persona.

Page 26: Data: Digging Deeper and Displaying

USER INTERVIEWS AND PERSONAS

Interview representatives of you key demographics

A. Can you take me through your typical online routine? You open up your web browser and where do you go first?

B. E. You’ve been given an assignment to write a term paper on climate change with at least 4 sources cited throughout the paper.

C. i. What is the first thing you do?

Page 27: Data: Digging Deeper and Displaying

USER INTERVIEWS AND PERSONAS

• How often do you go to the library website? • When do you go to the library website? What do you do when

you’re there? (Take participant to site)• What immediately draws your attention?• What features do you like/dislike?• Did you find the Website easy to use?

• Why or why not? • If not, what would make the site easier to use?

• What information did you expect to find but did not?

What links are the most important and should appear on the main page?

Page 28: Data: Digging Deeper and Displaying

USER INTERVIEWS AND PERSONAS

Use the answers to develop personas that represent your users

Use the personas to develop a list of critical tasks for each demographic

Page 29: Data: Digging Deeper and Displaying

STACEYfreshman

the source of the information can come from anywhere and is really irrelevant; she just needs to know where to look

uses often commercial search engines like Yahoo and Google to locate information

she doesn’t distinguish between the online catalog and the library web site; for her, the web site is just the way to get to the catalog with some additional information mixed in

Unaware of library tools and resources

needs help with the research process and is overly-confident about her own research skills, which may not be as strong as she thinks

jfudrow
Are freshmen overly confident yet lacking actual skills?Satisficing
Page 30: Data: Digging Deeper and Displaying

spends a lot of time at the library to study for midterms and finals; wants to be able to check easily what the library hours are

she wants to easily connect to wi-fi and uses self-print for all her assigned readings

does not rely heavily on the library’s print journal collections; commonly uses e-journal collections

uses primarily books on reserve and rarely checks out a book or two from Hillman collection; expects Hillman library to have all the textbooks required by instructors and is surprised if they are not in the collection or are not placed on reserve for students

uses chat or calls the front desk to get help from library staff with locating a reference

uses her smart phone to find the call number of a book on reserve, see if a book is checked out and when is due back, or look up the syllabus, the course number, or the name of the instructor

Page 31: Data: Digging Deeper and Displaying

USE PERSONAS TO IDENTIFY TOP TASKS BY AUDIENCE

What specific things does Stacey want to do on our site?

Set up GOALS and FUNNELS around these tasks

Page 32: Data: Digging Deeper and Displaying

GOALS

Goal : the page a visitor reaches once they have completed a desired action

Funnel : The (optimized) steps along the way to the goal

Page 33: Data: Digging Deeper and Displaying

THE GOAL

Page 34: Data: Digging Deeper and Displaying

Sstep 1

Sstep 2

Sstep 3

THE FUNNEL

Page 35: Data: Digging Deeper and Displaying
Page 36: Data: Digging Deeper and Displaying
Page 37: Data: Digging Deeper and Displaying
Page 38: Data: Digging Deeper and Displaying

GOALS Name the goal something intuitive. In this example it might be “Class Registration”

Choose whether or you want the goal to be active (on) now

Most library scenario goals will probably fall under the “URL Destination” type

Page 39: Data: Digging Deeper and Displaying

GOALSHere add the URL of the thank you page

Page 40: Data: Digging Deeper and Displaying

*TIP

Exact match has to be EXACTLY the same as the URL….even leading or trailing spaces will cause it to fail

Page 41: Data: Digging Deeper and Displaying

GOALS

add the URL(s) of the page(s) along the path a user would take to get from the homepage all the way through to the thank you page

Page 42: Data: Digging Deeper and Displaying

MAYBE DIFFERENT METRICS FOR DIFFERENT CONTENT

Set up different profiles for:

Engagement content (blogs, guides, reviews)

Funnel content (get me to…databases, ejournals, catalog, etc)

Informational content (hours, policies)

Page 43: Data: Digging Deeper and Displaying

MAYBE DIFFERENT METRICS FOR DIFFERENT CONTENT

Time on page:

Engagement content (blogs, guides, reviews): hopefully high

Funnel content (get me to…databases, ejournals, catalog, etc): hopefully very low

Informational content (hours, policies): hopefully low

Page 44: Data: Digging Deeper and Displaying

COMMUNICATING THE RESULTS

Page 45: Data: Digging Deeper and Displaying

KEY VISUALIZATIONS

Page 46: Data: Digging Deeper and Displaying

TRAFFIC> SEARCH> ORGANIC

Page 47: Data: Digging Deeper and Displaying

TRAFFIC> SEARCH> ORGANIC

Page 48: Data: Digging Deeper and Displaying

CONTENT>LANDING PAGES &EXIT PAGES

Page 49: Data: Digging Deeper and Displaying

CONTENT>LANDING PAGES &EXIT PAGES VIA VISITOR FLOW

Page 50: Data: Digging Deeper and Displaying

CONTENT>TOP PAGES

Page 51: Data: Digging Deeper and Displaying

CONTENT>TOP PAGES (IN-PAGE ANALYTICS)

Page 52: Data: Digging Deeper and Displaying

QUESTIONS?

Page 53: Data: Digging Deeper and Displaying

THANK YOU!