search sense interactive fuzzy search (venture lab 2012)
DESCRIPTION
SearchSense Interactive Fuzzy Search (Venture Lab 2012) Market Research and Business Proposition HypothesisTRANSCRIPT
SearchSense Interactive Fuzzy SearchSolution for Making Site Search Usable
Venture Lab 2012
Agenda
SearchSense Team
The Market
Problem
Impact
SearchSense Business Proposition
Business Proposition Hypothesis
Experiment
Hypothesis Results
Demo
User Behavior Adaptation
SearchSense Team
Naveen Grover (Team Lead) [email protected]
Hery Zo Rakotondramanana [email protected]
Lokesh KUMAR [email protected]
Sonya Fox [email protected]
Lem Griffin [email protected]
Kamal Pasha Shaikh [email protected]
Samir Carecho [email protected]
Jonathan Tanner [email protected]
The Market | Non Search Engine Market
Source: comScore qSearch 2.0; “Search Engines” defined as properties falling under the Search/Navigation category in qSearch , January 2011
Although Search Engines Are Still the Major Players, Search Isn’t Confined to the Engines AnymoreSite search (non-search engine search) continues to show growth, but still represents a smaller percentage of overall searches.
The Market | Long Tail of Search
Addressing discoverability Seventy percent of queries in commercial searches are “long tail” queries, the sheer magnitude of which defies the labor-intensive efforts used for “head” terms.http://www.seomoz.org/blog/illustrating-the-long-tail
The Market | Smart Phone Local Search and Buying Behavior
Source : 5th Annual 15miles/Localeze Local Search Usage Study Conducted by comScore February, 2012
The Market | Primary Source for Local Business Information
Consumers utilize multiple media sources when conducting a local search.
15miles/comScore Local Search Usage Study, 2010
The Market | Reasons for Dissatisfaction
Local Business Information Provided
Source: 15miles/comScore Local Search Usage Study, 2010
The Market | Site Search & Shopping Behavior
Source : The Value of Retail Search and Position Conducted by comScore Sponsored by Searchandise Commerce and iProspect July 2010
The Market | User Behaviors - Number of Clicks
The Value of Retail Search and Position Conducted by comScore Sponsored by Searchandise Commerce and iProspect July 2010
The Market | Site Search Page Perception of Top Section
Source : The Value of Retail Search and Position Conducted by comScore Sponsored by Searchandise Commerce and iProspect July 2010
Problem | The Predicament
From bad to worse – a small problem takes the user way off track
Source : India famous IndiaTimes Shopping Site , http://shopping.indiatimes.com/ Accessed 18 May 2012
Problem | The Predicament
People DatabaseBrad PittForest WhittackerGeorge BushAngelina JolieArnold Schwarzeneger………
Queries against collection:Find all entries for “Forrest Whitaker”Find all entries for “Arnold Schwarzenegger”Find all entries for “Brittany Spears”
OR
Problem | The Predicament
* Source www.google.com/jobs/britney.html
Actual queries gathered by Google*
Search ProblemCorrect Spelling 488941
Incorrect Spelling 146258
% of Problem 30%
Errors in queries
Errors in data
Search - Bring query and meaningful results closer together
Problem | The Predicament
Search failure isn’t pretty…
There is only one right way to search, but many wrong way
… Which side you are !!!
From bad to worse – a small problem takes the user way off track
Problem | The Predicament
Does this sound familiar?
It’s either all or nothing - zero results or thousands
Your site statistics show that many users try a few searches then exit the site without any other action.
In an online store, visitors frequently do not find what they are looking for, even when the item is available. The problem is usually caused by the eCommerce on-site search.
Users who found something useful by browsing on a previous visit can’t find it again when they return and use search. They are especially frustrated because they know the page exists.
Problem | Impact
eCommerce Site Search - the impact of negative search experiences Poor search = lost revenue Users who conduct site searches are almost three times more likely to purchase something
while visiting a site – (WebSideStory study) Users who had SUCCESSFUL site searches are twice as likely to convert (Enlighten study) Half of all add-to-cart actions happened after a search. (Enlighten study) Users who had NULL-RESULTS site searches were three times as likely to leave (Enlighten
study) Estimate - Up to 20% of the gains in user experience during a site redesign can be attributed to
search improvements – “Laura Ramos of Forrester” Alternative Search Properties - Apple moves into the top five with 120% intensity growth and
14% searcher growth over the past year. eBay leads with 855MM searches and 19.0 searches per searcher in January 2011; Facebook.com has the largest number of searchers (65MM).(comScore qSearch State of Search, January 2011)
Site features and overall site performance strongly affect online shopper loyalty. Online shoppers also look for rich product content, with 67% of online consumers finding this important, while 60% of consumers demand an effective site search. (August 17, 2009 eCommerce Web Site Performance Today An Updated Look At Consumer Reaction To A Poor Online Shopping Experience A commissioned study conducted by Forrester Consulting on behalf of Akamai Technologies, Inc.)
SearchSense Business Proposition
SearchSense fill the “linguistic gap”, which improve the “Findability”. It simply turns more of site visitors into buyers which means higher conversion rate,
larger orders and higher revenue.
Business Proposition Hypothesis
We have tested our Value Proposition for the following Hypothesis
HA 1: Reduction of Failed Searches
“Subjects using the SearchSense models will initiate fewer searches that fail to return an acceptable selection than subjects using any other search tool.”
HA 2: Reduction of Search Refinements
“Subjects using the SearchSense models will require fewer search refinements to locate the intended result items than subjects using any other search tool.”
HA 3: Reduction of Search Time
“Subjects using the SearchSense will take less time to complete the assigned searches than subjects using any other search tool.”
HA 4: No Significant Negative Impact on Precision
“Subjects using the SearchSense will not receive significantly more search results than subjects using any other search tool.”
Experiment
The primary research objective, to measure the effect of SearchSense, is accomplished by conducting an experiment in which a demo of SearchSense system (minimum viable product version) is provided to group of human subjects and observation being made and verbal feedback is collected to evaluate the performance of SearchSense system. Subject is asked to perform the same misspell search (linguistic problem) to other publicly available search system as well e.g. http://shopping.indiatimes.com to compare the results
Hypothesis HA 1: Reduction of Failed Searches
HA 1: Reduction of Failed Searches
“Subjects using the SearchSense models will initiate fewer searches that fail to return an acceptable selection than subjects using any other search tool.”
Result
Analysis of the observation results demonstrates that for subjects using SearchSense system, the relevant results are shown even when subject misspell due to linguistic problem than subjects using any other publicly available search system e.g. http://shopping.indiatimes.com.
Hypothesis HA 2: Reduction of Search Refinements
HA 2: Reduction of Search Refinements
“Subjects using the SearchSense models will require fewer search refinements to locate the intended result items than subjects using any other search tool.”
Result
Analysis of the observation results demonstrates that for subjects using SearchSense system, the relevant results are shown even when subject misspell due to linguistic problem hence subject would require fewer search refinements to locate the intended result items than subjects using any other publicly available search system e.g. http://shopping.indiatimes.com.
Hypothesis HA 3: Reduction of Search Time
HA 3: Reduction of Search Time
“Subjects using the SearchSense will take less time to complete the assigned searches than subjects using any other search tool.”
Result
Analysis of the observation results demonstrates that for subjects using SearchSense system, the relevant results are shown even when subject misspell due to linguistic problem hence subject would require fewer search refinements to locate the intended result items than subjects using any other publicly available search system e.g. http://shopping.indiatimes.com , which causes reduction in search time per identified search term.
Hypothesis HA 4: No Significant Negative Impact on Precision
HA 4: No Significant Negative Impact on Precision
“Subjects using the SearchSense will not receive significantly more search results than subjects using any other search tool.”
Result
We were unable to test this hypothesis as no publicly data available against which we can test our hypothesis.
Demo | SearchSense
Search Suggestion can be turned off
Relevant Category and Product First
One Text Box for Category or Product
Last Search Items Shown
Search Suggest Can be turned off
Products Listing
Products Category
Product or Category
User Behavior Adaptation
Adoption is ramping up quickly, but Instant is still only engaged on approximately 22% of queries
Source : comScore qSearch State of Search, January 2011
User Behavior AdaptationInstant appears to be driving users toward shorter queries
Instant is clearly reducing users’ workload, but it’s also shortening the average query
Source : comScore qSearch State of Search, January 2011
