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Should organizations establish a Crowdsourcing Center of Excellence?

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When I started the crowdsourcing program within my group, I was planning to implement one or two projects. Within weeks, the number of projects grew to six. In the last year, we have experimented over fifteen different types of projects.

As more and more projects with CrowdFlower graduate to production, different groups (engineering, product management, quality engineering) across the organization are seeing the benefits of crowdsourcing and are keen on embracing this new paradigm.

With so many projects in-flight and so many ideas coming up, would it make sense for organizations to setup a Crowdsourcing Center of Excellence (CCE) much like the PMOs?

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Crowdsourcing Thought Leadership: Building a successful portfolio of crowdsourcing projects (Part 4)

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KPIs Crowdsourcing

KPIs (via howtoworkthis.com)

This is part of a series of guest posts by Ram Rampalli, our crowdsourcing partner at eBay.
Part I – Assessment Stage
Part II – Pilot Stage
Part III – Analysis Stage
Part IV – Production Stage

About the author: Ram Rampalli created and leads the crowdsourcing program within the Selling & Catalogs team at eBay Inc. You can follow him on Twitter (@ramrampalli)

Building a successful portfolio of crowdsourcing projects – Part 4

In the first three parts of this series, we discussed the Assessment, Pilot, and Analysis & Optimization stages. Now that the task is moved to production, what steps can you take to manage this effectively?

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CrowdFlower Challenges Yelp: It’s a Nerd-Off

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Dramatic Intro

It is high noon in business listing verification crowdsourcing land. We are throwing down the gauntlet. We are stepping in the ring. We are mixing our metaphors.

Undramatic Intro

Yelp engineers recently described their efforts to correct business listing data using Amazon Turk. They tapped the services of 4,660 contributors; only 79 passed their quality assurance testing (1.7% of contributors were “trusted”), and the data they output was (very roughly) 80% accurate.

This smelled funny to us. Our business listing verification service routinely returns results above 97% accuracy. In fact, some of the most recognizable names in local search and business data pay for that service. (See a full report on 100,000 listings we did for a major search company to see some typical figures). Out of the last couple dozen crowdsourcing tasks we’ve run, the absolute minimum proportion of contributors who were “trusted” was 34%. But more importantly, our platform identifies these trusted contributors within minutes, meaning the best contributors get the job done quickly.

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Crowdsourcing Thought Leadership: Building a successful portfolio of crowdsourcing projects (Part 3)

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Analysis & Optimization
via: www.jamorama.com

This is part of a series of guest posts by Ram Rampalli, our crowdsourcing partner at eBay.
Part I – Assessment Stage
Part II – Pilot Stage
Part III – Analysis Stage
Part IV – Production Stage

About the author: Ram Rampalli created and leads the crowdsourcing program within the Selling & Catalogs team at eBay Inc. You can follow him on Twitter (@ramrampalli)

Building a successful portfolio of crowdsourcing projects – Part 3

In the first two parts of this series, we discussed the Assessment and Pilot stages. Now that the pilot task is finished and you have a copy of the results file, it’s time to analyze these results and plan for the next steps.

What can you expect to get from CrowdFlower?

CrowdFlower can provide you both the aggregated judgment file (a single “consensus” judgment per unit) and the full judgment file (all the judgments collected for that unit). Each judgment is annotated with additional data, including date/time collected, labor channel and geographic origin.
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Crowdsourcing Thought Leadership: Building a successful portfolio of crowdsourcing projects (Part 2)

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(photo via www.insideflorida.com)

This is part of a series of guest posts by Ram Rampalli, our crowdsourcing partner at eBay.
Part I – Assessment Stage
Part II – Pilot Stage
Part III – Analysis Stage
Part IV – Production Stage

About the author: Ram Rampalli created and leads the crowdsourcing program within the Selling & Catalogs team at eBay Inc. You can follow him on Twitter (@ramrampalli)

A quick aside before jumping into Part 2: This series lays out a methodology for compiling a successful portfolio of high-accuracy, deterministic crowdsourcing projects done through the CrowdFlower platform. It is not an absolute methodology for all possible crowdsourcing projects.

Building a successful portfolio of crowdsourcing projects – Part 2

In the first part of this series, we discussed the Assessment stage. If your proposed project passed the initial assessment, it graduates to the next stage: Pilot.

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