SlideShare a Scribd company logo
How to defeat
feature gluttony
www.mrowcakasia.eu kasia@mrowca.co.uk
Gluttony
Source: http://www.pusheen.com/
Source: http://9gag.com/
How feature gluttony
affects product?
Number of features
Complexity
Number of features
Happinessoftheuser
Happy user
Number of features
Happinessoftheuser
Now I can’t find
anything!
How feature gluttony
affects backlog?
Problem 1: Road map
Problem 1: Road map
commitment
Problem 2: Backlog
Problem 2: Backlog size
Problem 3: priorities
Problem 4: documentation
Source: http://geek-and-poke.com/
Number of features
Complexity
Number of features
Happinessoftheuser
Now I can’t find anything!
Number of features
Complexity
Number of features
Happinessoftheuser
Now I can’t find anything!
Clean up!
Estimates…
… how about using story
points?
high estimate as a way to
scare the customer
high estimate as a way to
scare the customer
MISTAKE!
why huge estimates are not scary?
the customer…
… doesn’t understand Story Points
… is used to big estimates...
… maps estimates to magic numbers in excel
… doesn’t know that this implementation
is not beneficial for HIM
why huge estimates are not scary?
the customer…
… doesn’t understand Story Points
… is used to big estimates...
… maps estimates to magic numbers in excel
… doesn’t know that this implementation
is not beneficial for HIM
why huge estimates are not scary?
the customer…
… doesn’t understand Story Points
… is used to big estimates...
… maps estimates to magic numbers in excel
… doesn’t know that this implementation
is not beneficial for HIM
why huge estimates are not scary?
the customer…
… doesn’t understand Story Points
… is used to big estimates...
… maps estimates to magic numbers in excel
… doesn’t know that this implementation
is not beneficial for HIM
Clean up! Do it right!
How to start?
Road map: vision ahead!
Product tree
categories
(moduls)
featuresfurure
Method source: Innovation games
Love vs ROI
Love vs ROI
Love vs ROI
Metrics
∞ ÷ 2 ≈ ∞
if you must use estimates
estimation methods
• Business Value – (simplifying) how profitable the feature is?
• additional estimate of risk
estimation methods
• Business Value – (simplifying) how profitable the feature is?
• additional estimate of risk
estimation methods
Story Points
User Story A
21
estimation methods
Story Points
User Story A
21
Risk
Business Value
XL
100
estimation methods
Story Points
User Story A
21
Risk
Business Value
XL
100
User Story A’
21
M
90
estimation methods
Story Points
User Story B
21
Risk
Business Value
L
20
how present alternatives?
• compare variants
Need 1
Need 2
Need 3
User Story A’ User Story A
add recommendation!
ok, how about… deleting?
Uncertainty causes fear
Uncertainty causes fear
…use automatic tests!
Wrap up
Number of features
Complexity
Number of features
Happinessoftheuser
Now I can’t find anything!
∞ ÷ 2 ≈ ∞
Story Points
User Story A
21
Risk
Business Value
XL
100
User Story A’
21
M
90
∞ ÷ 2 ≈ ∞
questions
www.mrowcakasia.eu
kasia@mrowca.co.uk

More Related Content

Similar to How to defeat feature gluttony?

ASAS 2015 - Kasia Mrowca
ASAS 2015 - Kasia MrowcaASAS 2015 - Kasia Mrowca
ASAS 2015 - Kasia Mrowca
Avisi B.V.
 
How to defeat feature gluttony - Kasia Mrowca
How to defeat feature gluttony - Kasia MrowcaHow to defeat feature gluttony - Kasia Mrowca
How to defeat feature gluttony - Kasia Mrowca
JAXLondon_Conference
 
[ACE'14] The art of saying no
[ACE'14] The art of saying no [ACE'14] The art of saying no
[ACE'14] The art of saying no
Katarzyna Mrowca
 
Attribution modeling 101, Mariia Bocheva
Attribution modeling 101, Mariia BochevaAttribution modeling 101, Mariia Bocheva
Attribution modeling 101, Mariia Bocheva
Mariia Bocheva
 
Attribution modeling 101
Attribution modeling 101 Attribution modeling 101
Attribution modeling 101
OWOX BI
 
Analytics in Action: What Users Want: How and Why to Build Knowledge into You...
Analytics in Action: What Users Want: How and Why to Build Knowledge into You...Analytics in Action: What Users Want: How and Why to Build Knowledge into You...
Analytics in Action: What Users Want: How and Why to Build Knowledge into You...
Hannah Flynn
 
Analytics in Action: What Users Want: How and Why to Build Knowledge into You...
Analytics in Action: What Users Want: How and Why to Build Knowledge into You...Analytics in Action: What Users Want: How and Why to Build Knowledge into You...
Analytics in Action: What Users Want: How and Why to Build Knowledge into You...
Aggregage
 
Aaron lee griffiths portfolio
Aaron lee griffiths portfolioAaron lee griffiths portfolio
Aaron lee griffiths portfolio
AaronLeeGriffiths
 
Eye-catching science: free tools to create data visualizations and infographics
Eye-catching science: free tools to create data visualizations and infographicsEye-catching science: free tools to create data visualizations and infographics
Eye-catching science: free tools to create data visualizations and infographics
Future Earth
 
Bring the intangible to life with Concept Visualization: Part 3 of 3
Bring the intangible to life with Concept Visualization: Part 3 of 3Bring the intangible to life with Concept Visualization: Part 3 of 3
Bring the intangible to life with Concept Visualization: Part 3 of 3
Deliverable Coaching
 
UX Strategy and The Questions; UX in AZ Meetup, May 2019
UX Strategy and The Questions; UX in AZ Meetup, May 2019UX Strategy and The Questions; UX in AZ Meetup, May 2019
UX Strategy and The Questions; UX in AZ Meetup, May 2019
GoDaddy
 
The good, bad, and ugly of data visualization in products at Cape Town Data V...
The good, bad, and ugly of data visualization in products at Cape Town Data V...The good, bad, and ugly of data visualization in products at Cape Town Data V...
The good, bad, and ugly of data visualization in products at Cape Town Data V...
David Mathias
 
The One-Shot Product by Microsoft Product Leader
The One-Shot Product by Microsoft Product LeaderThe One-Shot Product by Microsoft Product Leader
The One-Shot Product by Microsoft Product Leader
Product School
 
Digital travel summit channel attribution 2014 04-01
Digital travel summit channel attribution 2014 04-01Digital travel summit channel attribution 2014 04-01
Digital travel summit channel attribution 2014 04-01
Jonathan Isernhagen
 
How Euroflorist is preparing for Artificial Intelligence
How Euroflorist is preparing for Artificial IntelligenceHow Euroflorist is preparing for Artificial Intelligence
How Euroflorist is preparing for Artificial Intelligence
Guido X Jansen
 
Augment your UX/UI Skills - Product Through the Lens of UX Design - 2016
Augment your UX/UI Skills - Product Through the Lens of UX Design - 2016Augment your UX/UI Skills - Product Through the Lens of UX Design - 2016
Augment your UX/UI Skills - Product Through the Lens of UX Design - 2016
Mark Joseph L. Tan
 
Mobile Product Strategy Keynote Presentation for Mobile App Europe Conference...
Mobile Product Strategy Keynote Presentation for Mobile App Europe Conference...Mobile Product Strategy Keynote Presentation for Mobile App Europe Conference...
Mobile Product Strategy Keynote Presentation for Mobile App Europe Conference...
Marc C. Lange
 
Lost in a Maze of Maps?
Lost in a Maze of Maps?Lost in a Maze of Maps?
Lost in a Maze of Maps?
Peter Kananen
 
Demystifying Hockey Stick Graphs in Products by OLX Sr PM
Demystifying Hockey Stick Graphs in Products by OLX Sr PMDemystifying Hockey Stick Graphs in Products by OLX Sr PM
Demystifying Hockey Stick Graphs in Products by OLX Sr PM
Product School
 
Animated captchas and games for advertising
Animated captchas and games for advertisingAnimated captchas and games for advertising
Animated captchas and games for advertising
Suhas Aggarwal
 

Similar to How to defeat feature gluttony? (20)

ASAS 2015 - Kasia Mrowca
ASAS 2015 - Kasia MrowcaASAS 2015 - Kasia Mrowca
ASAS 2015 - Kasia Mrowca
 
How to defeat feature gluttony - Kasia Mrowca
How to defeat feature gluttony - Kasia MrowcaHow to defeat feature gluttony - Kasia Mrowca
How to defeat feature gluttony - Kasia Mrowca
 
[ACE'14] The art of saying no
[ACE'14] The art of saying no [ACE'14] The art of saying no
[ACE'14] The art of saying no
 
Attribution modeling 101, Mariia Bocheva
Attribution modeling 101, Mariia BochevaAttribution modeling 101, Mariia Bocheva
Attribution modeling 101, Mariia Bocheva
 
Attribution modeling 101
Attribution modeling 101 Attribution modeling 101
Attribution modeling 101
 
Analytics in Action: What Users Want: How and Why to Build Knowledge into You...
Analytics in Action: What Users Want: How and Why to Build Knowledge into You...Analytics in Action: What Users Want: How and Why to Build Knowledge into You...
Analytics in Action: What Users Want: How and Why to Build Knowledge into You...
 
Analytics in Action: What Users Want: How and Why to Build Knowledge into You...
Analytics in Action: What Users Want: How and Why to Build Knowledge into You...Analytics in Action: What Users Want: How and Why to Build Knowledge into You...
Analytics in Action: What Users Want: How and Why to Build Knowledge into You...
 
Aaron lee griffiths portfolio
Aaron lee griffiths portfolioAaron lee griffiths portfolio
Aaron lee griffiths portfolio
 
Eye-catching science: free tools to create data visualizations and infographics
Eye-catching science: free tools to create data visualizations and infographicsEye-catching science: free tools to create data visualizations and infographics
Eye-catching science: free tools to create data visualizations and infographics
 
Bring the intangible to life with Concept Visualization: Part 3 of 3
Bring the intangible to life with Concept Visualization: Part 3 of 3Bring the intangible to life with Concept Visualization: Part 3 of 3
Bring the intangible to life with Concept Visualization: Part 3 of 3
 
UX Strategy and The Questions; UX in AZ Meetup, May 2019
UX Strategy and The Questions; UX in AZ Meetup, May 2019UX Strategy and The Questions; UX in AZ Meetup, May 2019
UX Strategy and The Questions; UX in AZ Meetup, May 2019
 
The good, bad, and ugly of data visualization in products at Cape Town Data V...
The good, bad, and ugly of data visualization in products at Cape Town Data V...The good, bad, and ugly of data visualization in products at Cape Town Data V...
The good, bad, and ugly of data visualization in products at Cape Town Data V...
 
The One-Shot Product by Microsoft Product Leader
The One-Shot Product by Microsoft Product LeaderThe One-Shot Product by Microsoft Product Leader
The One-Shot Product by Microsoft Product Leader
 
Digital travel summit channel attribution 2014 04-01
Digital travel summit channel attribution 2014 04-01Digital travel summit channel attribution 2014 04-01
Digital travel summit channel attribution 2014 04-01
 
How Euroflorist is preparing for Artificial Intelligence
How Euroflorist is preparing for Artificial IntelligenceHow Euroflorist is preparing for Artificial Intelligence
How Euroflorist is preparing for Artificial Intelligence
 
Augment your UX/UI Skills - Product Through the Lens of UX Design - 2016
Augment your UX/UI Skills - Product Through the Lens of UX Design - 2016Augment your UX/UI Skills - Product Through the Lens of UX Design - 2016
Augment your UX/UI Skills - Product Through the Lens of UX Design - 2016
 
Mobile Product Strategy Keynote Presentation for Mobile App Europe Conference...
Mobile Product Strategy Keynote Presentation for Mobile App Europe Conference...Mobile Product Strategy Keynote Presentation for Mobile App Europe Conference...
Mobile Product Strategy Keynote Presentation for Mobile App Europe Conference...
 
Lost in a Maze of Maps?
Lost in a Maze of Maps?Lost in a Maze of Maps?
Lost in a Maze of Maps?
 
Demystifying Hockey Stick Graphs in Products by OLX Sr PM
Demystifying Hockey Stick Graphs in Products by OLX Sr PMDemystifying Hockey Stick Graphs in Products by OLX Sr PM
Demystifying Hockey Stick Graphs in Products by OLX Sr PM
 
Animated captchas and games for advertising
Animated captchas and games for advertisingAnimated captchas and games for advertising
Animated captchas and games for advertising
 

More from Katarzyna Mrowca

Delivering unicorns
Delivering unicornsDelivering unicorns
Delivering unicorns
Katarzyna Mrowca
 
Make your data beautiful!
Make your data beautiful! Make your data beautiful!
Make your data beautiful!
Katarzyna Mrowca
 
Architecture for rookies
Architecture for rookiesArchitecture for rookies
Architecture for rookies
Katarzyna Mrowca
 
Agile project management anti patterns
Agile project management anti patterns Agile project management anti patterns
Agile project management anti patterns
Katarzyna Mrowca
 
Tajniki współpracy z (trudnym) klientem
Tajniki współpracy z (trudnym) klientemTajniki współpracy z (trudnym) klientem
Tajniki współpracy z (trudnym) klientem
Katarzyna Mrowca
 
Skad programisci wiedza co pisac
Skad programisci wiedza co pisacSkad programisci wiedza co pisac
Skad programisci wiedza co pisac
Katarzyna Mrowca
 
Sztuka mówienia NIE - w kontekście zbierania wymagań biznesowych
Sztuka mówienia NIE - w kontekście zbierania wymagań biznesowychSztuka mówienia NIE - w kontekście zbierania wymagań biznesowych
Sztuka mówienia NIE - w kontekście zbierania wymagań biznesowych
Katarzyna Mrowca
 
Sztuka wojny wg analityka IT - jak współpracować z trudnym klientem
Sztuka wojny wg analityka IT - jak współpracować z trudnym klientemSztuka wojny wg analityka IT - jak współpracować z trudnym klientem
Sztuka wojny wg analityka IT - jak współpracować z trudnym klientem
Katarzyna Mrowca
 
Jak wybrać systemy IT wspierające działalność przedsiębiorstwa
Jak wybrać systemy IT wspierające działalność przedsiębiorstwaJak wybrać systemy IT wspierające działalność przedsiębiorstwa
Jak wybrać systemy IT wspierające działalność przedsiębiorstwa
Katarzyna Mrowca
 
Aplikacja od początku do końca - czyli skąd programiści wiedzą co pisać?
Aplikacja od początku do końca - czyli skąd programiści wiedzą co pisać?Aplikacja od początku do końca - czyli skąd programiści wiedzą co pisać?
Aplikacja od początku do końca - czyli skąd programiści wiedzą co pisać?Katarzyna Mrowca
 
Sztuka czytania między wierszami - R i Data mining
Sztuka czytania między wierszami - R i Data miningSztuka czytania między wierszami - R i Data mining
Sztuka czytania między wierszami - R i Data mining
Katarzyna Mrowca
 
R & Data mining in action
R & Data mining in actionR & Data mining in action
R & Data mining in action
Katarzyna Mrowca
 
"Z IT na nasze" - czyli na czym polega praca Analityka IT. (Wersja plus size :))
"Z IT na nasze" - czyli na czym polega praca Analityka IT. (Wersja plus size :))"Z IT na nasze" - czyli na czym polega praca Analityka IT. (Wersja plus size :))
"Z IT na nasze" - czyli na czym polega praca Analityka IT. (Wersja plus size :))
Katarzyna Mrowca
 
"Z IT na nasze" - czyli na czym polega praca analityka?
"Z IT na nasze" - czyli na czym polega praca analityka?"Z IT na nasze" - czyli na czym polega praca analityka?
"Z IT na nasze" - czyli na czym polega praca analityka?
Katarzyna Mrowca
 
Confitura 2013
Confitura 2013Confitura 2013
Confitura 2013
Katarzyna Mrowca
 
2013 04 20 SpaceApp challenge kraków
2013 04 20 SpaceApp challenge kraków2013 04 20 SpaceApp challenge kraków
2013 04 20 SpaceApp challenge kraków
Katarzyna Mrowca
 

More from Katarzyna Mrowca (16)

Delivering unicorns
Delivering unicornsDelivering unicorns
Delivering unicorns
 
Make your data beautiful!
Make your data beautiful! Make your data beautiful!
Make your data beautiful!
 
Architecture for rookies
Architecture for rookiesArchitecture for rookies
Architecture for rookies
 
Agile project management anti patterns
Agile project management anti patterns Agile project management anti patterns
Agile project management anti patterns
 
Tajniki współpracy z (trudnym) klientem
Tajniki współpracy z (trudnym) klientemTajniki współpracy z (trudnym) klientem
Tajniki współpracy z (trudnym) klientem
 
Skad programisci wiedza co pisac
Skad programisci wiedza co pisacSkad programisci wiedza co pisac
Skad programisci wiedza co pisac
 
Sztuka mówienia NIE - w kontekście zbierania wymagań biznesowych
Sztuka mówienia NIE - w kontekście zbierania wymagań biznesowychSztuka mówienia NIE - w kontekście zbierania wymagań biznesowych
Sztuka mówienia NIE - w kontekście zbierania wymagań biznesowych
 
Sztuka wojny wg analityka IT - jak współpracować z trudnym klientem
Sztuka wojny wg analityka IT - jak współpracować z trudnym klientemSztuka wojny wg analityka IT - jak współpracować z trudnym klientem
Sztuka wojny wg analityka IT - jak współpracować z trudnym klientem
 
Jak wybrać systemy IT wspierające działalność przedsiębiorstwa
Jak wybrać systemy IT wspierające działalność przedsiębiorstwaJak wybrać systemy IT wspierające działalność przedsiębiorstwa
Jak wybrać systemy IT wspierające działalność przedsiębiorstwa
 
Aplikacja od początku do końca - czyli skąd programiści wiedzą co pisać?
Aplikacja od początku do końca - czyli skąd programiści wiedzą co pisać?Aplikacja od początku do końca - czyli skąd programiści wiedzą co pisać?
Aplikacja od początku do końca - czyli skąd programiści wiedzą co pisać?
 
Sztuka czytania między wierszami - R i Data mining
Sztuka czytania między wierszami - R i Data miningSztuka czytania między wierszami - R i Data mining
Sztuka czytania między wierszami - R i Data mining
 
R & Data mining in action
R & Data mining in actionR & Data mining in action
R & Data mining in action
 
"Z IT na nasze" - czyli na czym polega praca Analityka IT. (Wersja plus size :))
"Z IT na nasze" - czyli na czym polega praca Analityka IT. (Wersja plus size :))"Z IT na nasze" - czyli na czym polega praca Analityka IT. (Wersja plus size :))
"Z IT na nasze" - czyli na czym polega praca Analityka IT. (Wersja plus size :))
 
"Z IT na nasze" - czyli na czym polega praca analityka?
"Z IT na nasze" - czyli na czym polega praca analityka?"Z IT na nasze" - czyli na czym polega praca analityka?
"Z IT na nasze" - czyli na czym polega praca analityka?
 
Confitura 2013
Confitura 2013Confitura 2013
Confitura 2013
 
2013 04 20 SpaceApp challenge kraków
2013 04 20 SpaceApp challenge kraków2013 04 20 SpaceApp challenge kraków
2013 04 20 SpaceApp challenge kraków
 

Recently uploaded

Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
tolgahangng
 
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
innovationoecd
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
DianaGray10
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Zilliz
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
How to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For FlutterHow to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For Flutter
Daiki Mogmet Ito
 
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalizationFull-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Zilliz
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
SOFTTECHHUB
 
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
Claudio Di Ciccio
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 

Recently uploaded (20)

Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
 
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
How to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For FlutterHow to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For Flutter
 
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalizationFull-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
 
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 

How to defeat feature gluttony?