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Discover how to improve customer management through user surveys, analyzing user characteristics, and validating results. Gain insights on improving services and enhancing customer relations.
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Who are our customers?Steps towards effectivecustomer management CCSA Session on Making Statistics Meaningful for Users – Luxembourg, 8 September 2011
Contents • Starting from zero • User surveys • Other sources of user information • Improving our services • Conclusions
Starting from zero • We started disseminating our database on the Internet in 2005 • The number ofdownloads grewrapidly • We knew nothingabout these users • How could weimprove our dissemination service?
User survey • Launched autumn 2007 • Now annual • Web-based • 10 questions • E-mail to registeredusers • Box on website inviting other users to take part
Responses • Target = 100 • 2008 – no“incentive”offered! • 2010 – surveyopen for shorter period due to website upgrade
Value of “incentives” • We offer a free publication to all who complete the survey • ... and give their name and address! • Clearly has an impact on response rates • But does it have an impact on the results? • No clear evidence either way
Sample size • Tens of thousands of database users • < 200 responses is a tiny percentage • Issues of possible bias? • Do incentives reduce bias? • How reliable are the results? • Can we validate them?
Validating results (1) • Compare user characteristics with other data, e.g. from Google Analytics • Geographic spread similar
Validating results (2) • Compare with expectations • Growing proportion of academics / students / researchers • Public sector rate quality higher • Private sector less happy with quality, particularly timeliness • Improvements to database interface increase perception of user-friendliness • These results agree with ad-hoc feedback
Validating results (3) • Low sample size: • Results need caveats • Small changes can not be seen as significant • But, this survey is the best source of information we have • When combined with other data, the results seem plausible
Using the results • Results feed through to annual quality improvement programmes Do
Improving our services • Improved timeliness • Quick access to key indicators • New “Country Overview” data cube • “Quick Statistics” charts and maps • More content in Russian • More and better metadata • New glossary with links to / from data
Conclusions (1) • We are just at the tip of the iceberg • but at least we are starting to know howlittle we know! • Use all available information sources to get a fuller picture • Visibility and Relevance are essential: • More users = more visibility • Happy users = more relevance
Conclusions (2) Good customer knowledgeand relations are vitalfor improving quality