Defining and Evaluating Success: Metrics and Metric Frameworks for Information Architects
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IBM Total Information Experience
Defining and Evaluating Success: Metrics and Metrics Frameworksfor Information Architects
Andrea L. AmesInformation Experience Strategist/Architect/Designer
Alyson RileyTIE Content Strategist
STC Webinar27 June 2013
© IBM Corporation 2013. All Rights Reserved
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IBM Total Information Experience
About AndreaTechnical communicator since 1983
Areas of expertiseInformation experience design: Content strategy, information architecture, and interaction design for content display and delivery, within products and interactive information delivery systems
Architecture, design, and development of embedded assistance (content within or near the product user interface)
Information and product usability, from analysis through validation
User-centered process for information development and information experience design
IBM Senior Technical Staff Member on corporate Total Information Experience team in IBM CIO’s office
University of CA Extension certificate coordinator and instructor
STC Fellow, past president (2004-05), former member of Board of Directors (1998-2006), and Intercom columnist (with Alyson Riley) of The Strategic IA
ACM Distinguished Engineer 2
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About Alyson
Technical communicator since 1995
Areas of expertise
Content strategy
Content metrics—the business value of content
Information architecture (my first love!)
Interaction design for content delivery vehicles, and interactive content
Information and product usability, from analysis through validation
User-centered processes for content strategy and scenario-driven information architecture
IBM Senior Content Strategist on corporate Total Information Experience team in the IBM CIO Office
Member of STC, and Intercom columnist (with Andrea Ames) of The Strategic IA
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Agenda
Telling the right story through metrics
Telling the right story to the right audience
The importance of a closed-loop metrics process
Evaluation frameworks
Building an evaluation framework
Questions
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Jared Spool says it SO well…
Metric: Something you can measureThe time a user spends on a Web site
Whether a particular Web page has a high “bounce rate” (indicates it’s often the last page users visit)
How much revenue a Web site makes
How many times the letter E is used on a Web site home page
All of these are measurable…BUT…being measurable doesn’t make those measures informative or useful
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We care, because…
An information architect is (among other things) a story-teller:
Define the right vision
Tell a compelling, true story that inspires people to buy in
What makes a story true? Facts—things you can prove.What makes a story compelling? It speaks to what matters most.
What matters most? Depends on your audience. Duh, right?
Prove the value of information architecture and content with metrics
Value is in the eye of the beholder.
Who’s your “beholder?” Understand who your beholders actually are—that is, the real decision-makers and influencers in your world. (Manage your stakeholders!)
Use metrics that target actual decision-makers.
Your actual decision-makers are probably business people—executives, managers, and others who hold the purse-strings.
Figure out what your audience values—their metrics for success.
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Problem: Metrics have gotten a bad rap
Numbers can be hard for word people
The right numbers are hard for everyone
Getting metrics to work for you requires a significant shift in thinking
Solution: Rethink metrics Metrics are another form of audience analysis (who cares about what?)
Metrics are another form of usability testing (what works for whom?)
Motivation for change: Metrics are a powerful tool for getting what you want (and making sure you want the right things)
Metrics transform opinion into fact
Metrics remove emotion from analysis
Strategize with metrics: Use metrics at every project phase Beginning: identify opportunity, prove the strategy is right
Middle: show incremental progress, course-correct
End: prove value and earn investment for the future
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Be sure you’re talking to the right audience
Audience 1: Business peopleUnless you can make a direct connection between your IA metrics and the metrics that drive business, you are telling the wrong story for this audience.
You need this audience! The business community funds us. We have to sell our vision to them, with a metrics story that resonates with them.
We must learn to speak “business”—that is, prove the value of content and the information experience using metrics that matter to business.
Audience 2: Content peopleTypically many kinds of content people will help implement an information architecture—your work may span departments and business units.
Content people tend to reflect the values of their leadership and business unit in which they’re located.
This means that even kindred spirits—other content people—can have widely different goals and metrics.
Your job is to define common ground by speaking to what matters most to this audience, too.
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Selling information architecture to a business audience
The metrics that we use to build effective content strategies don’t resonate with most executives, managers, and finance people.
Sometimes we “talk to ourselves”—that is, use metrics that resonate with content people, not the actual people we need to support our strategy.
“Page hits” resonate with us. “Sales leads” resonates with business.
You cannot directly connect things like page hits and bounce rates to core business metrics.
You need an informational professional’s intuition to know how content supports business metrics—most business people don’t have that intuition.
The business audience funds us. We have to sell our vision and prove our value to them, with a metrics story that speaks to what they care about most.
Examplebusiness metrics:
Revenue streams
Sales leads
Cost per lead
Customer satisfaction
Customer loyalty
Return on investment (ROI)
Time to value
Market share
Mindshare
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Selling content strategy to a content audience
Analyze each team that contributes to your information architecture
In what business unit are they located?
Who are their executives, sponsors, and stakeholders?
Who “grades them” on their performance?
Who funds them?
What matters to them?
How do they measure their progress or results?
What are they doing well (both in your analysis and theirs)?
Where can they improve (both in your analysis and theirs)?
Identify areas of similarity and differenceWhere do their goals align with yours? build bridges!
Where do their goals conflict with yours? build business cases!
Use metrics to craft a story that:
Shows problems and opportunities that the content team cares about
Maps in key areas to their goals for content
Diverges from their current goals in ways that would increase their value to sponsors and stakeholders
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Identify and begin managing stakeholders
Your best political asset—your stakeholders!
A rigorous stakeholder management process will help you take rigorous advantage of this key asset
Think through the ways that your stakeholders can help you—start by identifying and analyzing:
Their status relative to your project—advocate, supporter, neutral, critic, blocker
Their top interests and hot issues
Their key performance indicators (KPIs) and metrics
The level of support you desire from them
The role on your project that you desire for them
The actions that you want them to take (and their priority)
The messages that you need to craft for them to enable the outcome you want
The actions and communication that you need to make happen with each stakeholder to achieve your desired outcome
Keep your stakeholder management plan current
“Stakeholder management is
critical to the success of every project in every
organization … By engaging the right people in the right
way in your project, you can make a big
difference to its success...
and to your career.” —Rachel Thompson
Source and free stakeholder management
worksheet here:Thompson, Rachel.
Stakeholder Management:
Planning Stakeholder
Communication. MindTools. Web.
12 April 2013. http://bit.ly/8UnUdj
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Metrics for an audience of business people (stakeholders)
Use the research you did during the today-state analysis phase
Target the key decisions-makers—those who hold the purse-strings
Identify what the key business decision-makers care about
Use language that resonates with that business audience
Remember: unless you can tie a particular goal or result to a measurement that the stakeholder cares about, that result ultimately doesn’t matter
Stakeholder
Example metrics
Marketing Executive
ROI Cost per lead Campaign performance Conversion metrics
SalesExecutive
Viable leads Sales growth Product performance
SupportExecutive
Call volume Call length Customer satisfaction Ticket deflection
DevelopmentExecutive
Development costs Market share Lines of code Compliance Quality and test results
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Metrics for an audience of content people
Map the people who deliver content to the metrics they care about
Remember that each content team has their own decision-makers who:
Approve their goalsDetermine their fundingDetermine their futures
Stakeholder
Example metrics
Example associated content teams
Example content metrics
Marketing Executive
ROI Cost per lead Campaign
performance Conversion
metrics
Web team Social team Event team
Web traffic Click-throughs Likes and shares Conversions Collateral distributed Cost per unit
produced
SalesExecutive
Viable leads Sales growth Product
performance
Sales enablement Education &
training Beta programs
Proofs of Concept (PoCs) to sale
Number of classes Beta program
participants Cost per unit
produced
SupportExecutive
Call volume Call length Customer sat. Ticket
deflection
Web support team Call center team
Amount of web information produced
Number of calls reduced
Time of calls reduced Cost per unit
produced
DevelopmentExecutive
Dev cost Market share Lines of code Compliance Quality and
test
Product documentation team
Developers who publish whitepapers and case studies
Product community forums and wikis
Lines of text, number of pages, etc.
Cost per unit produced
Web traffic Number of forum
participants
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Metrics-based goals
So what are the goals for your information architecture? Express those goals in the form of business metrics and content metrics. Some examples:Business metrics Sample IA metrics Sample content goals
Purchase decisions
(revenue)
Reach—visits, etc. Engagement—
referrals, etc.
Contribute to revenue stream through referrals from technical content that become sales leads.
Product quality
(customer loyalty)
Reach—visits, etc. Engagement—
referrals, etc.
Contribute to product quality through by simplifying the amount of content in the user experience.
Customer satisfaction
(ROI)
Web traffic Direct feedback Ratings Shares (social)
Create high value content that speeds customer time to success.
Perceptions of company (mindshare)
Sentiment—nature of social dialogue, etc.
Direct feedback
Create high quality, highly usable content delivered in an elegant information experience.
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Critical: A closed-loop process
Closed loop: end up at the beginning!Start with metrics—use at project outset to:
Identify problems and opportunitiesDefine the visionProve that the vision is right
Continue with metrics—use during implementation to:Measure the success of your progress in small incrementsStay on-target through implementationDetermine when it’s time to course-correct (before change gets expensive)Keep your sponsors and stakeholders engaged throughout the long haulEnsure that you remain connected to the broader goals and metrics of the surrounding businessEnsure that you stay responsive and adapt to change
End with metrics—use at project conclusion to:Prove the business value of information architectureProve the business value of your work—enhance your credibility and careerEncourage future investment in information architecture
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How do you close the loop?
Measure what you’ve said you’ll measure, of course…
Build a framework, aka, scorecard, to evaluate how you’re doing
Before you begin
Identify what to measure and collect
Identify and begin managing stakeholders!
1. Determine types of metrics to include in framework *
2. Normalize “results” to “scores” *
3. Categorize and weight metrics *
4. Create summaries *5. Validate the framework *
6. Launch! *
* Stakeholder-management point
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1. Determine quantitative metrics
2. Determine qualitative metrics
3. Determine compliance items1Determine metric types
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What types of metrics are you measuring?
QuantitativeDescribe the what, or how many of the what
Can be measured with numbers—absolutely, mathematically
Examples: See the last three charts Qualitative
Describe intangibles, like the why
Non-numerical
Examples: Sentiment, how important something is, how much the respondents like something, how likely they are to recommend
Compliance itemsQuantitative—you can count them
But you’re only counting “1”
More important is the perceived value of that “1”
Examples: Models applied, templates used, processes followed
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A simple example: Running
Quantitative
Time
Distance
Heartrate
Compliance
Doping
Qualitative
How I feel at start of run
How I feel at end of run
How the weather conditions were
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1. Evaluate qualitative metrics – are scales the same
2. Evaluate quantitative metrics – how good is good
3. Evaluate compliance items – how important is it
4. Select a scale• Numerical
• Good/bad
• High/med/low (e.g., priority)
• Crawl/walk/run
Make room for an “innovation” or “exemplary” level—the “top” of your scale should be attainable by everyone!
Consider:
Do teams have a way to be successful from where they are? (e.g., can they reasonably get to crawl?)
Will you be able to measure incremental improvement
2Normalize results to scores
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Qualitative metrics: Are the result scales the same?
How I feel at start of run
Horrible OK Good Great!
How I feel at end of run
Horrible OK Good Great!
What the weather conditions were*
Freezing Cold Cool Warm/humid Hot/humid
* More accurate to measure temperature and humidity as quantitative metrics
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Qualitative metrics: Better!
How I feel at start of run
Horrible OK Good Great!
How I feel at end of run
Horrible OK Good Great!
What the weather conditions were*
Horrible OK Good Great!(Hot/humid or freezing cool/dry)
* More accurate to measure temperature and humidity as quantitative metrics
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Quantitative metrics: How good is “good?”
Time
Beginner: 15 minute mile
Intermediate: 11 minute mile
Athlete: 8 minute mile
Distance: % of goal
25-50%
50-75%
75-100%
Heartrate
Below fat-burning zone
Fat burning zone
Aerobic zone
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Quantitative metrics: Normalized
TimeHorrible (implied) More than 15-minute mile
OK Beginner: 15 minute mile
Good Intermediate: 11 minute mile
Great Athlete: 8 minute mile
Distance: % of goalHorrible (implied) Less than 25%
OK 25-50%
Good 50-75%
Great 75-100%
Heart rateHorrible (implied) No heart rate OK Below fat burning zone
Good Fat burning zone
Great Aerobic zone
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1. Determine what to measure by considering:
– Who are your stakeholders?
– What is important to them?
– What are your goals?
– What will best help you tell your story to get your stakeholders aligned around your goals?
2. Use your IA brain; this is a classic IA problem.
3Categorize and weight scores
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A possible categorization scheme
Think about how you want to tell your story for most impact
What is your clients’ product-use life cycle?
Other possible schemes
By function (to make specific business cases to them)
By “standard” (to understand specific compliance issues)
A generalized view ofIBM’s product-use lifecycle
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1. Determine what summaries you need to tell the right story at a glance
• For management
• For the larger organization
• For the team being measured
2. Be careful not to create an unwieldy mess
4Create a summaries
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This could be an entire session by itself!
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1. Find as many diverse “products” as possible to measure.
2. Gut check with several “independent” IAs• Individual metrics
• Categories
• The whole
3. Compare results across products for consistency
4. Compare results to uncover gaps: Is something note being measured that should be?
5. If possible, find other frameworks to compare to your approach—not necessarily an IA framework…maybe a user experience or support framework
5Validate framework
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1. Determine how the framework will be used
• As a self-evaluation tool?
• In an objective, outside evaluation?
• Do users need to be “certified” to use it? Or evaluators to evaluate with it?
2. Communicate!
3. Educate!
4. Consult?
6Launch!
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Questions?
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References
Jared Spool: KPIs are metrics, but not all metrics are KPIs from UIE Brainsparks blog, Oct 5, 2012: http://bit.ly/VFYvF2
Bhapkar, Neil. 8 KPIs Your Content Marketing Measurements Should Include. Content Marketing Institute. Web. 12 April 2013. http://bit.ly/Wnb7Cy
Klipfolio. The KPI Dashboard—Evolved. Web. 12 April 2013. http://bit.ly/LhzeL9
Muldoon, Pamela. 4 metrics every content marketer needs to measure: Interview with Jay Baer. Content Marketing Institute. Web. 12 April 2013. http://bit.ly/X8IvMJ
Thompson, Rachel. Stakeholder management: Planning stakeholder communication. MindTools. Web. 12 April 2013. http://bit.ly/8UnUdj
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Backup
IBM Confidential© IBM Corporation 2013. All Rights Reserved
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Proving the business value of content—IBM example
Shameless ad:
Watch for the May issue of
STC’s Intercom magazine for a new article that
we wrote on proving the
business value of content.
At IBM, we’re learning to tell a better story for a business audience
We conducted a survey from 2010-2012 with clients and prospective clients about the value of content—here’s the hot-off-the-press data:
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A map of content metrics to stakeholder metrics
Tie your IA metrics to the metrics that matter most to your stakeholders so you can tell a story that inspires the outcomes you want.
This means researching how content influences the metrics that are most important to the specific people you need for success.
Start your research with these hints:How does content speed user success and time-to-value?
direct link to customer value
How does content drive purchase decisions?
direct link to the revenue stream
How does content impact product quality?
direct link to customer loyalty
How does content influence customer satisfaction?
direct link to ROI
How does content shape clients’ perceptions of your company?
direct link to mindshare
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Evaluation frameworks: Heuristics and heuristic evaluations
HeuristicsRules of thumb
No one single “rule” or set of “rules”
Heuristic evaluationsInspection method
Performed by “experts”
Based on heuristics
Both: Based on principles derived from observing and analyzing user actions and intentions
These principles enable development of your own evaluation framework, based on your own user data