SlideShare ist ein Scribd-Unternehmen logo
1 von 3
1
Mechanical Turk is a marketplace to access a cost-
effective, scalable, global workforce of over 500K
Workers in 190 countries.
The ability to integrate an on-demand, scalable
Workforce via API makes Mechanical Turk a solution
of choice for all types of businesses worldwide. As a
utility model, similar to the electric grid, it delivers what
you need, when you need it, on a pay-for-what-you-
use basis. As a result, businesses are shifting human-
intensive, routine workloads to Mechanical Turk at an
unparalleled rate vs. hiring more FTE’s, outsourcing,
or staff augmentation.
Amazon Mechanical Turk
Mechanical Turk allows businesses to get fast, accurate
work results without long term contracts or minimum
commitments, helping to turn fixed costs into variable
(see diagram). The primary use cases include:
 data training (i.e. building up sample data to test algorithms)
 data collection (i.e. categorization, moderation, time stamping, tagging/annotation, authoring, translation,
transcription, research/surveys, sentiment analysis, more).
Business Goal(s)
Requesters are typically seeking to fix / accomplish / avoid the following business goals via Mechanical Turk:
 Reduce cost, transform fixed costs to variable expense
 Improve scalability or elasticity (i.e. bursting up & down) in line with workload type (i.e. on-demand)
 Accelerate time-to-market
 Improve quality / accuracy
 Increase revenue
Current Situation
Requesters are typically in one or both of the following situations:
1) Seeking to supplement, or shift from, using FTE’s, staff augmentation, or traditional outsourcing to perform routine,
human-intensive tasks.
2) Seeking to train/test their algorithms by quickly developing large sets of data
Potential Benefits
Requesters seeking to strategically add Mechanical Turk can accomplish the following:
 Turn fixed costs into variable: Transform fixed [human] capital costs into variable expense, by either
shifting/supplementing internal FTE or outsourcing models to an on-demand, pay-for-what-you-use model.
 Scalability: Like cloud, scale up/down for the human capital needed to avoid waste, meeting your capacity
requirements in-line with workload types (on/off, fast growth, backlog, variable & predictable peaks)
 Accuracy: Drive fast, accurate work results at competitive prices without long-term contracts or minimum
commitments.
 Speed & agility: On-demand access to a scalable Workforce and results-based productivity.
 Focus on business: Where FTE’s are being utilized for human-intensive tasks, redeploy towards core business.
Cost of Ownership
A Requester’s cost of ownership in the marketplace is comprised of i) Worker fees, and ii) Amazon fee. Amazon Mechanical
Turk collects a 10% commission on top of the reward amount you set for Workers. For example, if a HIT reward is set to
$0.20, Amazon Mechanical Turk collects $0.02 for each assignment. The minimum commission charged is $0.005 per
assignment. When you grant a bonus, Amazon Mechanical Turk collects 10% of the bonus amount, or a minimum of $0.005
per bonus payment. If you choose to send HITs exclusively to Photo Moderation or Categorization Masters, an additional
20% fee applies.
2
Thousands of businesses power their solutions
through the Mechanical Turk Workforce, either
accessing the marketplace directly, and/or via
one of our many Partners. See below for your
options on how to Connect, Engage and get
Support, while following Best Practices to
effectively scale.
1. How to Connect:
 Manual via WebUI
 Automate via API
2. How to Engage:
 Self-serve
 Partners
3. How to get Support
 Documentation
 Best Practices
 Developer’s Resources
 Sandbox
 Case studies
 Approved Partner Network
 Mechanical Turk blog Mechanical Turk ecosystem - equivalent of cloud stack
 Begin with a project
 Break it into tasks and design your HIT
 Publish HITs to the marketplace
 Workers accept assignments
 Workers submit assignments for review
 Approve or reject assignments
 Complete your project
Mechanical Turk Ecosystem
How it Works
 Begin with a project…and define the goals & key components of your project. For example, your goal might be to
clean your business listing database so that you have accurate information for consumers. The sub-components of your
project might be to categorize the businesses by listing type (i.e., restaurant or service) and verify that the related
address and phone number are current.
 Break it into tasks and design your HIT…so many Workers can work in parallel and faster. For example, if you have
1,000 listings to verify, each listing could be an individual task. Next, design your Human Intelligence Tasks (HITs) by
writing crisp and clear instructions, identifying the specific outputs and inputs desired and how much you will pay to
have work completed. Calculating reward is a function of defining a competitive effective hourly rate, prorating based on
task completion time, competitive marketplace rates, and throttling your cost/accuracy/productivity levers relative to your
target performance metrics.
 Publish HITs to the marketplace…hundreds, thousands, even millions at a time. For example, each HIT can have
multiple assignments so that different Workers can provide answers to the same set of questions and you can compare
the results to form an agreed-upon answer.
 Workers accept assignments…for special skills, you can qualify the Workforce. For example, if Workers need special
skills, specific geography, or specific marketplace rating to complete your tasks, you can require that they pass a
Qualification test before they are allowed to work on your HITs.
 Workers submit assignments for review. When a Worker completes your HIT, he or she submits an assignment for
you to review.
 Approve or reject assignments…you pay only for approved work. When your work items have been completed, you
can review the results and approve or reject them.
 Complete your project…Congratulations; your project has been completed and your Workers paid!
3
Next Steps
We recommend setting up and agreeing to an evaluation roadmap, to help guide us through discussions, to proof-
of-concept, to scaling; following is an example:
Strategy & Governance
•TBD: Initial diagnostics on business + use case(s) objectives
• TBD: Map to Mechanical Turk capabilities, deliverable: Updated Goals Summary
• TBD: Requesters confirms GO - NO GO to further evaluate
Planning & Design
• TBD: Requester evaluates & selects WebUI/API/partners
• TBD: Discuss and define pilot/POC; review details including scope, use case,
deliverables, cost, schedule, success metrics (cost, accuracy, productivity)
Implementation
• TBD: Launch pilot, measure results against target success metrics
• TBD: Requester defines crowdsourcing is a viable solution GO - NO GO
• TBD: Requester selects engagement model of choice GO - NO GO
• TBD: Reference check/contracts for supplier of choice
Launch
• TBD: Use case campaign Start
• TBD: Monitor performance, iterate & scale

Weitere ähnliche Inhalte

Andere mochten auch

Principios de la hidraulica
Principios de la hidraulicaPrincipios de la hidraulica
Principios de la hidraulicaEliezmar23
 
Adasa - Water and Environment Technology (EN-FR)
Adasa - Water and Environment Technology (EN-FR)Adasa - Water and Environment Technology (EN-FR)
Adasa - Water and Environment Technology (EN-FR)COMSA Corporación
 
Entrepreneurship (quality management)
Entrepreneurship (quality management)Entrepreneurship (quality management)
Entrepreneurship (quality management)Mohit Khatrii
 
1. sk tim penyusun rpjm des
1. sk tim penyusun rpjm des1. sk tim penyusun rpjm des
1. sk tim penyusun rpjm desdeivie rondonuwu
 
Introduction to macroeconomics
Introduction to macroeconomicsIntroduction to macroeconomics
Introduction to macroeconomicsDivyanshu Khurana
 
Marilah bina ayat
Marilah bina ayatMarilah bina ayat
Marilah bina ayatpeinling
 
Pendidikan Agama Islam (MATERI "TOLERANSI" )
Pendidikan Agama Islam (MATERI "TOLERANSI" )Pendidikan Agama Islam (MATERI "TOLERANSI" )
Pendidikan Agama Islam (MATERI "TOLERANSI" )dwitabrian
 

Andere mochten auch (10)

Principios de la hidraulica
Principios de la hidraulicaPrincipios de la hidraulica
Principios de la hidraulica
 
Adasa - Water and Environment Technology (EN-FR)
Adasa - Water and Environment Technology (EN-FR)Adasa - Water and Environment Technology (EN-FR)
Adasa - Water and Environment Technology (EN-FR)
 
Entrepreneurship (quality management)
Entrepreneurship (quality management)Entrepreneurship (quality management)
Entrepreneurship (quality management)
 
POS Inovatif
POS InovatifPOS Inovatif
POS Inovatif
 
1. sk tim penyusun rpjm des
1. sk tim penyusun rpjm des1. sk tim penyusun rpjm des
1. sk tim penyusun rpjm des
 
Introduction to macroeconomics
Introduction to macroeconomicsIntroduction to macroeconomics
Introduction to macroeconomics
 
11.dhembi
11.dhembi11.dhembi
11.dhembi
 
Marilah bina ayat
Marilah bina ayatMarilah bina ayat
Marilah bina ayat
 
Pendidikan Agama Islam (MATERI "TOLERANSI" )
Pendidikan Agama Islam (MATERI "TOLERANSI" )Pendidikan Agama Islam (MATERI "TOLERANSI" )
Pendidikan Agama Islam (MATERI "TOLERANSI" )
 
Makalah fisika
Makalah fisikaMakalah fisika
Makalah fisika
 

Mehr von Daniel Gray

Welocalize Introduction and Overview
Welocalize Introduction and OverviewWelocalize Introduction and Overview
Welocalize Introduction and OverviewDaniel Gray
 
AWS featuring Mechanical Turk_for Automotive_2014
AWS featuring Mechanical Turk_for Automotive_2014AWS featuring Mechanical Turk_for Automotive_2014
AWS featuring Mechanical Turk_for Automotive_2014Daniel Gray
 
AWS featuring Mechanical Turk for Financial Services_2014
AWS featuring Mechanical Turk for Financial Services_2014AWS featuring Mechanical Turk for Financial Services_2014
AWS featuring Mechanical Turk for Financial Services_2014Daniel Gray
 
Amazon Mechanical Turk: Transcription & Captioning for On-line Education & Ac...
Amazon Mechanical Turk: Transcription & Captioning for On-line Education & Ac...Amazon Mechanical Turk: Transcription & Captioning for On-line Education & Ac...
Amazon Mechanical Turk: Transcription & Captioning for On-line Education & Ac...Daniel Gray
 
Amazon Mechanical Turk: Intro & Overview
Amazon Mechanical Turk: Intro & OverviewAmazon Mechanical Turk: Intro & Overview
Amazon Mechanical Turk: Intro & OverviewDaniel Gray
 
Mechanical Turk: Increase Image Sales (April 2013 Webinar)
Mechanical Turk: Increase Image Sales (April 2013 Webinar)Mechanical Turk: Increase Image Sales (April 2013 Webinar)
Mechanical Turk: Increase Image Sales (April 2013 Webinar)Daniel Gray
 

Mehr von Daniel Gray (6)

Welocalize Introduction and Overview
Welocalize Introduction and OverviewWelocalize Introduction and Overview
Welocalize Introduction and Overview
 
AWS featuring Mechanical Turk_for Automotive_2014
AWS featuring Mechanical Turk_for Automotive_2014AWS featuring Mechanical Turk_for Automotive_2014
AWS featuring Mechanical Turk_for Automotive_2014
 
AWS featuring Mechanical Turk for Financial Services_2014
AWS featuring Mechanical Turk for Financial Services_2014AWS featuring Mechanical Turk for Financial Services_2014
AWS featuring Mechanical Turk for Financial Services_2014
 
Amazon Mechanical Turk: Transcription & Captioning for On-line Education & Ac...
Amazon Mechanical Turk: Transcription & Captioning for On-line Education & Ac...Amazon Mechanical Turk: Transcription & Captioning for On-line Education & Ac...
Amazon Mechanical Turk: Transcription & Captioning for On-line Education & Ac...
 
Amazon Mechanical Turk: Intro & Overview
Amazon Mechanical Turk: Intro & OverviewAmazon Mechanical Turk: Intro & Overview
Amazon Mechanical Turk: Intro & Overview
 
Mechanical Turk: Increase Image Sales (April 2013 Webinar)
Mechanical Turk: Increase Image Sales (April 2013 Webinar)Mechanical Turk: Increase Image Sales (April 2013 Webinar)
Mechanical Turk: Increase Image Sales (April 2013 Webinar)
 

Kürzlich hochgeladen

[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdfSandro Moreira
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxRemote DBA Services
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native ApplicationsWSO2
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...Zilliz
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontologyjohnbeverley2021
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfOrbitshub
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamUiPathCommunity
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 

Kürzlich hochgeladen (20)

[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 

Amazon Mechanical Turk: Intro & Overview

  • 1. 1 Mechanical Turk is a marketplace to access a cost- effective, scalable, global workforce of over 500K Workers in 190 countries. The ability to integrate an on-demand, scalable Workforce via API makes Mechanical Turk a solution of choice for all types of businesses worldwide. As a utility model, similar to the electric grid, it delivers what you need, when you need it, on a pay-for-what-you- use basis. As a result, businesses are shifting human- intensive, routine workloads to Mechanical Turk at an unparalleled rate vs. hiring more FTE’s, outsourcing, or staff augmentation. Amazon Mechanical Turk Mechanical Turk allows businesses to get fast, accurate work results without long term contracts or minimum commitments, helping to turn fixed costs into variable (see diagram). The primary use cases include:  data training (i.e. building up sample data to test algorithms)  data collection (i.e. categorization, moderation, time stamping, tagging/annotation, authoring, translation, transcription, research/surveys, sentiment analysis, more). Business Goal(s) Requesters are typically seeking to fix / accomplish / avoid the following business goals via Mechanical Turk:  Reduce cost, transform fixed costs to variable expense  Improve scalability or elasticity (i.e. bursting up & down) in line with workload type (i.e. on-demand)  Accelerate time-to-market  Improve quality / accuracy  Increase revenue Current Situation Requesters are typically in one or both of the following situations: 1) Seeking to supplement, or shift from, using FTE’s, staff augmentation, or traditional outsourcing to perform routine, human-intensive tasks. 2) Seeking to train/test their algorithms by quickly developing large sets of data Potential Benefits Requesters seeking to strategically add Mechanical Turk can accomplish the following:  Turn fixed costs into variable: Transform fixed [human] capital costs into variable expense, by either shifting/supplementing internal FTE or outsourcing models to an on-demand, pay-for-what-you-use model.  Scalability: Like cloud, scale up/down for the human capital needed to avoid waste, meeting your capacity requirements in-line with workload types (on/off, fast growth, backlog, variable & predictable peaks)  Accuracy: Drive fast, accurate work results at competitive prices without long-term contracts or minimum commitments.  Speed & agility: On-demand access to a scalable Workforce and results-based productivity.  Focus on business: Where FTE’s are being utilized for human-intensive tasks, redeploy towards core business. Cost of Ownership A Requester’s cost of ownership in the marketplace is comprised of i) Worker fees, and ii) Amazon fee. Amazon Mechanical Turk collects a 10% commission on top of the reward amount you set for Workers. For example, if a HIT reward is set to $0.20, Amazon Mechanical Turk collects $0.02 for each assignment. The minimum commission charged is $0.005 per assignment. When you grant a bonus, Amazon Mechanical Turk collects 10% of the bonus amount, or a minimum of $0.005 per bonus payment. If you choose to send HITs exclusively to Photo Moderation or Categorization Masters, an additional 20% fee applies.
  • 2. 2 Thousands of businesses power their solutions through the Mechanical Turk Workforce, either accessing the marketplace directly, and/or via one of our many Partners. See below for your options on how to Connect, Engage and get Support, while following Best Practices to effectively scale. 1. How to Connect:  Manual via WebUI  Automate via API 2. How to Engage:  Self-serve  Partners 3. How to get Support  Documentation  Best Practices  Developer’s Resources  Sandbox  Case studies  Approved Partner Network  Mechanical Turk blog Mechanical Turk ecosystem - equivalent of cloud stack  Begin with a project  Break it into tasks and design your HIT  Publish HITs to the marketplace  Workers accept assignments  Workers submit assignments for review  Approve or reject assignments  Complete your project Mechanical Turk Ecosystem How it Works  Begin with a project…and define the goals & key components of your project. For example, your goal might be to clean your business listing database so that you have accurate information for consumers. The sub-components of your project might be to categorize the businesses by listing type (i.e., restaurant or service) and verify that the related address and phone number are current.  Break it into tasks and design your HIT…so many Workers can work in parallel and faster. For example, if you have 1,000 listings to verify, each listing could be an individual task. Next, design your Human Intelligence Tasks (HITs) by writing crisp and clear instructions, identifying the specific outputs and inputs desired and how much you will pay to have work completed. Calculating reward is a function of defining a competitive effective hourly rate, prorating based on task completion time, competitive marketplace rates, and throttling your cost/accuracy/productivity levers relative to your target performance metrics.  Publish HITs to the marketplace…hundreds, thousands, even millions at a time. For example, each HIT can have multiple assignments so that different Workers can provide answers to the same set of questions and you can compare the results to form an agreed-upon answer.  Workers accept assignments…for special skills, you can qualify the Workforce. For example, if Workers need special skills, specific geography, or specific marketplace rating to complete your tasks, you can require that they pass a Qualification test before they are allowed to work on your HITs.  Workers submit assignments for review. When a Worker completes your HIT, he or she submits an assignment for you to review.  Approve or reject assignments…you pay only for approved work. When your work items have been completed, you can review the results and approve or reject them.  Complete your project…Congratulations; your project has been completed and your Workers paid!
  • 3. 3 Next Steps We recommend setting up and agreeing to an evaluation roadmap, to help guide us through discussions, to proof- of-concept, to scaling; following is an example: Strategy & Governance •TBD: Initial diagnostics on business + use case(s) objectives • TBD: Map to Mechanical Turk capabilities, deliverable: Updated Goals Summary • TBD: Requesters confirms GO - NO GO to further evaluate Planning & Design • TBD: Requester evaluates & selects WebUI/API/partners • TBD: Discuss and define pilot/POC; review details including scope, use case, deliverables, cost, schedule, success metrics (cost, accuracy, productivity) Implementation • TBD: Launch pilot, measure results against target success metrics • TBD: Requester defines crowdsourcing is a viable solution GO - NO GO • TBD: Requester selects engagement model of choice GO - NO GO • TBD: Reference check/contracts for supplier of choice Launch • TBD: Use case campaign Start • TBD: Monitor performance, iterate & scale