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SYMPTOM or
POTENTIAL
ESTABLISH
TEST HYPOTHESIS
CREATE DESIGN
SUGGESTIONS
TEST DESIGN
SUGGESTIONS
IMPLEMENT
BEST DESIGN
FOLLOW-UP
IMPLEMENTATION
QUALIFY TEST
HYPOTHESIS
WEBOPTIMIZATION CYCLE
WWW.OLEG.DK - OLE GREGERSEN 2012
1
2
3
45
6
7
DESIGN
EVALUATION
Slides updated June 2013
DISCUSSIONS
• Establishing a continues systematic approach
• Data-centered (or just empiric) design decisions
• ROI or cost-benefit on UX work
• Competencies: Which or who?
• Tools and best-practices
• Organisational maturity
SYMPTOM or
POTENTIAL
ESTABLISH TEST
HYPOTHESIS
CREATE DESIGN
SUGGESTIONS
TEST DESIGN
SUGGESTIONS
IMPLEMENT
BEST DESIGN
FOLLOW-UP
IMPLEMENTATION
QUALIFY TEST
HYPOTHESIS
1
2
3
45
6
7
WWW.OLEG.DK - OLE GREGERSEN 2012
Step 1 - 3: Making sure you are spending resources on the right thing
Step 4 - 6: Making sure you are designing the right thing
Step 7: Making sure you were actually right
SUBPROCESSES
SYMPTOM or
POTENTIAL
ESTABLISH TE
HYPOTHESIS
FOLLOW-UP
EMENTATION
1
27
WEBOPTIMIZATION CYCLE
Question:
Example:
Prerequisite:
Benefits:
Where’s our potential or problems?
”Our check-out process leaks at step 3”
User or usage-based data, usertest, web analysis
ROI, systematic approach, data-driven, doing it…
SYMPTOM or
POTENTIAL
ESTABLISH TEST
HYPOTHESIS
1
2
WEBOPTIMIZATION CYCLE
Question:
Example:
Prerequisite:
Benefit:
What behaviour or tech. is related to potential?
”Why do users leave the page at this point?”
Experience, competencies, knowledge
Precision, efficiency, reducing risk
Most often related to:
- Technical stuff
- Usage or interactions
- Fluctuations, variations
ESTABLISH TEST
HYPOTHESIS
CREATE DESIGN
SUGGESTIONS
QUALIFY TEST
HYPOTHESIS
2
3
4
Questions:
Whats the ROI on this idea?
Should we go ahead?
Example:
”Let’s send quitters an email
with some questions”
Prerequisite:
Web analytics, error logs
Online tools, UX methods
Benefits:
Not designing the wrong thing
Changing things that matters
CREATE DESIGN
SUGGESTIONS
QUALIFY TEST
HYPOTHESIS3
4
DESIGN
Question:
Example:
Prerequisite:
Benefit:
How do we design the best possible UX?
”Users lack trust, let’s add some user reviews”
Interaction design skills (experience, education)
Allowing tests, learning, accepting challenges?
TEST DESIGN
SUGGESTIONS
IMPLEMENT
BEST DESIGN
45
6
DESIGN
EVALUATI
Question:
Example:
Prerequisite:
Benefit:
Which design works the best?
”Treatment A outperformed the control by 29%”
Split-testing skills, access to test on website
Empiric, statistical, usage related decision
TEST DESIGN
SUGGESTIONS
IMPLEMENT
BEST DESIGN
FOLLOW-UP
IMPLEMENTATION
5
6
7
EVALUATION
Prerequisite:
Access to (fast iterations in) releases
SYMPTOM
FOLLOW-UP
IMPLEMENTATION
1
7
Question:
Example:
Prerequisite:
Benefit:
Did it actually improve value or reduce problem?
”We reduced dropouts by 15%, what’s next?”
User or usage-based data, web analysis
Qualifying change in larger context
WEBOPTIMIZATION CYCLE
SYMPTOM or
POTENTIAL
ESTABLISH TEST
HYPOTHESIS
CREATE DESIGN
SUGGESTIONS
TEST DESIGN
SUGGESTIONS
IMPLEMENT
BEST DESIGN
FOLLOW-UP
IMPLEMENTATION
QUALIFY TEST
HYPOTHESIS
WEBOPTIMIZATION CYCLE
WWW.OLEG.DK - OLE GREGERSEN 2012
1
2
3
45
6
7
DESIGN
EVALUATION
WWW.OLEG.DK - OLE GREGERSEN 2012
OLE GREGERSEN
USABILITY & WEBOPTIMIZATION SPECIALIST
WWW.WEBOPTIMERING.NU
BLOG: WEBOPTIMERING.NU/BLOG
TWITTER: @OLEGUSABILITY
CALL ME +45 28 30 55 89
SLIDES AT:
SLIDESHARE.NET/OLEGREGERSEN1/WEBOPTIMIZATION-CYCLE
THANK YOU

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Weboptimization Cycle

Hinweis der Redaktion

  1. Here it is, the weboptimizationcycle by Ole Gregersen. April 2012. Presented at the UXcampCPH 2012.
  2. Design does not mean visual or graphic design alone, but all website development.
  3. The symptomidentifies the potential improvement. Itscanbeanything from a blogpost, a usertest, salesdata, web analysis, ekspert evaluations. The trick is to pick the right symptoms. Using data from tests or web analysis must give potentials of higherquality. Symptom canalsobe a newfounderror or based on analysisinitiatives, which is alsosomethingthatcanbeestablished. So identifying symptoms, prioritizingthem and working with them is also a skill. Maybethisshouldbecalled the potential in stead – but for now the symptom is a symptom of the a potential. The point is thatwedon’tknowifthere’sanything to gain, but weassume so – hence the data we base it on.Low hangingfruits
  4. So most oftenwedon’tknowwhy the symptom is there. In other situations it can have multiple explanations. Typicallytheseexplanationscanbedividedintetechnicalissues, usageissues or mere fluctuations in traffic. The latter is not relevant in this case. Establishing the right hypothesistakesexperience with whatworks and how, it alsotakescompetenciesabout usability/UX/Interactiondesign, in order to knowwhatcouldpotentiallycreatethat symptom. Same goes for the technicalstuff (not coveredherereally). Whenwearetalkingabout CRO, the hypothesisrelates to how a potential canbeexploited (udnyttet).
  5. Sowe end up with a fewideas (hypothesis) aboutwhatcauses the symptom (the problem). Now its time to qualifywhichhypothesisareactuallyinvolved.Timneagain to consultyour data-collectingtools and methods. Depending on the issues at hand, different types of data is relevant. I have usedquestionaires, usertests, Google Analytics, Crazyegg and other and oftentriangulating information to establishsome rough understanding of problems related to the symptom. End resultshouldbe a clear idea of what the problem is and what sort of design changescanbesuggested – becausetherecouldeasilybe multiple changes. Itscanbeeverything from tinychanges to changes in overall concept.So this is the placewherewecallweather a potential has potential  - in the case where CRO is the case. I thinkthis step couldbeomitted to somedegree, if the symptom is so ”obvious” thatonecan go straight to suggested design.After this step the cycle can RESTART because this is where the ROI should be proven.
  6. Againthis is an actualcompetency, a skill. To creategreat interaktionsdesign/UX design/visual design. Somecyclesare more related to error – others, especiallyafter a while or in more mature organisations, are part of ”true” optimization potentials. Theyarecalled suggestions in respekt to the factthatweshould not create just one solution, to somedegreebecausewedon’tbelieve in knowing whatworks. The willalwaysbepossibilities to be testet/tried out.
  7. Copyright Ole Gregersen april 2012.
  8. Copyright Ole Gregersen april 2012.
  9. Copyright Ole Gregersen april 2012.