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DATA DRIVEN PRODUCT MANAGEMENT Building a search engine from the ground up TAPAN KAMDAR @TKAMDAR WWW.TAPANKAMDAR.COM

Data driven product management

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Page 1: Data driven product management

DATA DRIVEN PRODUCT MANAGEMENT

Building  a  search  engine  from  the  ground  up

TAPAN [email protected]

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I  don’t  do  math

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WHICH OF THESE CAN YOU USE IN THE DARK?

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90%  of  world's  data  generated  over  last  two  years

Source:  Science  Daily

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USE DATA OR PERISH

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GOING FROM 0 TO 60 IN 2.8 SECONDS

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DOMAIN SEARCH ≠GOOGLE SEARCH?

Query Tokenize Understand Generate  suggestions

Rank  suggestions

Buy  from  registry

toiletseat.com

toilet  seatOR

toilets  eat

toiletseat.infotoiletseat.org

toiletseat.plumbingtoiletseat.co

toilet  seat toiletseat.infotoiletseat.co

toiletseat.plumbing

toiletseat.co

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GoDaddy Domain Search Results

2 years ago

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CHECKLISTDOT -> MLN

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M

Leverage  existing  data  OR  

“create”  new  data

L

Define  intended  outcome

NTOD

Testingcapability    

MVP Launch   Next  steps

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D FOR DATA

Customer  interactions

UX  discovery  with  users

Customer  feedback

Customer  service  agentfeedback

Purchases

3rd party  research

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CUSTOMER JOURNEY MAPS

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5

4

3

2

1 Search  Results3.4

Homepage3.0

Configure3.7

Cart4.4

Login4.1

Checkout3.2

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GATHERING DATA TO BUILD A SEARCH EXPERIENCE

CustomerProfile Searches Purchases Usage  

PatternsCustomer  Service

• Products  in  Use• How  are  they  used?

• Segments• Paths

• Search  Sessions

• Clicks• Behavior

• Domain  purchased

• Other  products  bought

• Cart  size

• Top  complaints• How  they  sell?

Competitors IndustryTrends

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O FOR OUTCOMEPICK THE RIGHT METRIC TO MEASURE

Q:  Optimize   the  entire  path  or  just  a  page?

• Alignment   on  metric   to  build  to:– Customer   experience– Revenue   ($,  margin)

• Set  explicit  and  realistic  goals• Clearly   state  assumptions   and  dependencies

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Revenue(Conversions, Order size,

# of Products)

Relevance(Click position, nDCG)

V/S

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Metric to optimize: Add To CartMade up a metric as nothing standard fit the need!

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T FOR TEST

“Test fast, fail fast, adjust fast”

• Do  you  have  an  A/B  testing  platform?

• Build  v/s  Buy

• What  should  you  test  and  when?

• Do  you  trust  your  data  -­ gut  check  test  results

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1ST A/B TEST FOR SEARCH

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A/B TESTS TODAY

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M FOR MVP

• Build  a  multi  year   roadmap   of  “big  

rocks”

• Pick  the  1st  “rock”

• Define   the  simplest  happy  path

• Simplify   it  even  further  

• Build  that!

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DOMAIN SEARCH MVP

Rule  basedmodel

Algorithmic  suggestions

GlobalRankingModel

MarketRanking  Models

Customer  segment  models

Path  specific  models

t =  0 t =  1y t =  2y t =  3y

Reorder Tokenize Complex  rules

MVP  1 MVP  2   MVP  3

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Simplifying the MVP with data

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Singular  ➢Plural

Plural  ➢Singular

Add  token  to  end

Delete  least  important  word  

Stemming Replace  word Digits Dashes

2 2 12

13 X X

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L FOR LAUNCH

• Launch  your  MVP

• Log  everything   (even  if  you  don’t  need  it)

• Measure   test  results

• Understand   dynamic   between  metrics

– Conversion,  Order  side,  New  customer  acquisition,  LTV

• Share  bad  news  quickly,  wait  to  share  good  news

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WHAT IS STATITICAL SIGNIFICANCE?

• Not  leaving  outcome   to  chance

• Probability   (p)   is  your   friend  – helps  manage  

risk

• Easy  to  compute   tools  available   online

– 95%  confidence  =>  You  are  wrong  1  in  20  times

– 90%  confidence  =>  You  are  wrong  1  in  10  times

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MY “BOB” STORY

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N FOR NEXT STEPS

• Launch  your  MVP

• Add  new  “big  rocks”

• Leverage   Lean  canvases

Source:  Steve  Blank

Prioritize: Customer Experience, not Revenue / Effort

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DON’T LOSE SIGHT OF WHO YOU ARE BUILDING FOR?

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GODADDY SEARCH EXPERIENCE TODAY

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NEW KID ON THE BLOCK

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TAKEAWAYS

• Think  of  data  as  your  road   to  

insights

• Optimize   the  right  metric  

• Test  fast,  fail  fast,  adjust   fast

• Minimum   Viable  Product

• Optimize   for  customer   experience,  

not  revenue   or  effort29

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TAPAN [email protected]