Metric 6.1 (IAG)

PROPOSED METRIC SECTION ***STAFF USE ONLY: PLEASE DO NOT EDIT***

1

Metric Description:

Number of consumer complaints to government agencies related to confusing or misleading domain names.

2

Notes/Comments:

3

AoC Category:

4

SO/AC Originator:

STAFF INFORMATION/ANALYSIS SECTION

5

Staff Team:

6

Metric Currently Measured?

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Computation:
(e.g., data elements, formula, numerator, denominator, ratio/percent, periodicity/frequency)

8

Data Owner:
(i.e., party responsible for collecting and publishing metric)

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Data Reference Source:
(i.e., how/where is the data collected, tracked, managed, and published/produced?)

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Targets:

SLA:
3-Year:

11

Implementation Considerations:
(e.g., what new or additional resources, tasks, activities, systems, et al., whether internal or external, would be needed to develop, capture, and report this metric?)

Initial outreach on existing relationships with consumer protection and regulatory agencies; formulating definition on the request. FTC said it could not provide this level of data based on its own data. Unclear what other LEA sources may be able to provide. Continuing follow-up.

12

Degree of Difficulty/Impact:
(i.e., net impact on existing ICANN resources, systems, and capabilities)

13

Estimated Development Cost ($M):

Internal	External

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Estimated Ongoing Production Costs:
(i.e., incremental to existing funded/budgeted expenditures)

Internal	External

15

Estimated Net Incremental Staff (FTE):
(Express as a fraction and/or range, e.g., .25 - .50)

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Itemization of Staff Work Effort:
(i.e., list of tasks/activities to support FTE calculation in Q15)

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Rough Implementation Timeframe:
(e.g., indicate major steps and months/years to complete each one)

Internal	External
Baseline: Phase 1, March-Sept. 2014 One-year post-launch: Phase 4C, Dec. 2014-Feb. 2015

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Critical Dependencies:

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Anticipated Challenges/Risks:

METRIC EFFECTIVENESS AND UTILITY SECTION

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Explanation of Metric Effectiveness:
(i.e., how will success/failure enable conclusions to be drawn concerning the relevant AoC definition?)

21

Metric Effectiveness Assessment:
(i.e., vis a vis AoC definition)

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Overall Feasibility Assessment:

LEGEND

Poor: Low Effectiveness - High Cost
Weak: Low Effectiveness - Low Cost
Potential: High Effectiveness - High Cost
Optimal: High Effectiveness - Low Cost

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