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FAFVotesAction
Create23Create modular solutions to reduce numbers of surveys
Reduce18Reduce the length and complexity of questionnaires without losing information
Reduce17Reduce the time to make a decision and accept better the risks of innovation such as new collection strategies
Raise17Invest in human resources (capacity building) to have capacity/capability for technological change.
Eliminate16Eliminate redundancies/duplication by using available alternative data sources
Raise16Raise international cooperation in innovative projects
Reduce15Reduce use of surveys by using admin data or other sources
Reduce14Reduce the number of data silos towards a more integrated framework (e.g. create data lake)
Eliminate13Eliminate duplication of effort by more collaboration
Eliminate12Eliminate issues with access to alternative data by removing legal and other barriers
Eliminate12Eliminate stove pipe and silo structures and create standardise processes
Eliminate11Eliminate roadblocks to creative thinking. Don't be too critical.
Raise11 Increase sharing of code and open source
Raise10Increase providing personalized feedback to respondents
Create10Create interactivity and dialogue with the respondents i.e. "gamification" of surveys
Create10Create dedicated teams to research use of alternative sources such as big data
Reduce9Reduce business contacts by integrating surveys
Raise9 Increase integration of multiple data sources in producing a statistic
Raise9Collaboration/partnerships with other data providers
Create9Create communication based on behavioral & psychological testing
Create9Create a system that can deal with multi-mode collection
Eliminate5Eliminate duplicate metadata/definitions (same concept >same definition)
Create5Create pre-defined quality standards to prevent over editing
Eliminate4Eliminate redundancies/duplication by using available alternative data sources
Reduce4Reduce traditional collection modes with more non traditional modes i.e. social medias
Create4Create added value or better experience for respondents for respondents
Create4Create activities in branding and raising awareness of our statistics
Raise3Raise alternative modes to align with respondent requirements
Create3Develop and implement generalized processing; data collection and common approaches and guidelines applicable to all surveys
Create3Create innovative data analysis and visualization
Eliminate2Eliminate barriers to communication by ensuring multiple contact options
Reduce1Reduce time lags for collection periods
Reduce1Reduce/simplify forms & communication
Raise1Finding new ways to engage respondents for different survey topics and various segment of the population
Raise1Increase trust/the value proposition through outreach, communication and education/statistical literacy
Create1Test different ways of communication
Raise0Raise administrative customer service
Raise0Increase self response that doesn't require follow up first
Raise0Increase use modular approach
Create0Create supporting structure for peer support across different NSI with different capacities
FAFVotesAction
Eliminate16Eliminate redundancies/duplication by using available alternative data sources
Eliminate13Eliminate duplication of effort by more collaboration
Eliminate12Eliminate issues with access to alternative data by removing legal and other barriers
Eliminate12Eliminate stove pipe and silo structures and create standardise processes
Eliminate11Eliminate roadblocks to creative thinking. Don't be too critical.
Eliminate5Eliminate duplicate metadata/definitions (same concept >same definition)
Eliminate4Eliminate redundancies/duplication by using available alternative data sources
Eliminate2Eliminate barriers to communication by ensuring multiple contact options
FAFVotesAction
Raise17Invest in human resources (capacity building) to have capacity/capability for technological change.
Raise16Raise international cooperation in innovative projects
Raise11 Increase sharing of code and open source
Raise10Increase providing personalized feedback to respondents
Raise9 Increase integration of multiple data sources in producing a statistic
Raise9Collaboration/partnerships with other data providers
Raise3Raise alternative modes to align with respondent requirements
Raise1Finding new ways to engage respondents for different survey topics and various segment of the population
Raise1Increase trust/the value proposition through outreach, communication and education/statistical literacy
Raise0Raise administrative customer service
Raise0Increase self response that doesn't require follow up first
Raise0Increase use modular approach
FAFVotesAction
Reduce18Reduce the length and complexity of questionnaires without losing information
Reduce17Reduce the time to make a decision and accept better the risks of innovation such as new collection strategies
Reduce15Reduce use of surveys by using admin data or other sources
Reduce14Reduce the number of data silos towards a more integrated framework (e.g. create data lake)
Reduce9Reduce business contacts by integrating surveys
Reduce4Reduce traditional collection modes with more non traditional modes i.e. social medias
Reduce1Reduce time lags for collection periods
Reduce1Reduce/simplify forms & communication
FAFVotesAction
Create23Create modular solutions to reduce numbers of surveys
Create10Create interactivity and dialogue with the respondents i.e. "gamification" of surveys
Create10Create dedicated teams to research use of alternative sources such as big data
Create9Create communication based on behavioral & psychological testing
Create9Create a system that can deal with multi-mode collection
Create5Create pre-defined quality standards to prevent over editing
Create4Create added value or better experience for respondents for respondents
Create4Create activities in branding and raising awareness of our statistics
Create3Develop and implement generalized processing; data collection and common approaches and guidelines applicable to all surveys
Create3Create innovative data analysis and visualization
Create1Test different ways of communication
Create0Create supporting structure for peer support across different NSI with different capacities

Overview by Session

TypeFAFS-GAction
Eliminate1-1Some of the policy and legal barriers currently in place restraining access to this information
Eliminate1-2Rationalize/reduce/eliminate redundancies
Eliminate1-2increase use of partial substitution of admin data rather than full substitution aim to eventually get full substitution
Eliminate1-3eliminate redundancy especially for business surveys
Eliminate1-4duplication
Eliminate1-5certain statistics (inconsistent, obsolete, duplication)
Eliminate1-5complexity of data requests
Eliminate1-5paper
Reduce1-1legal requirements in terms of confidentiality of the information
Reduce1-2Consolidating data requests (could also eliminate)
Reduce1-2Reducing duplication of collecting "same" data from multiple sources ... merging surveys together
Reduce1-3reduce the number of surveys
Reduce1-3dependency on other organizations
Reduce1-4Cost to programs
Reduce1-4burden
Reduce1-4numbers of primary surveys
Reduce1-5cost
Reduce1-5respondents burden
Reduce1-5time to market
Raise1-1A culture shift is required in terms of how this data is the be used, the quality of the information collected and the process used to use this data in official statistics
Raise1-1The possibility that the current historical series may not be maintained
Raise1-1Comparability issues and methodological validation required in using this new data - robustness and quality of the data
Raise1-1The possibility that the concepts may differ with the use of structured\big data
Raise1-2increase use of admin data
Raise1-2increase self response that doesn't require follow up first
Raise1-2personalized feedback for data collection
Raise1-3admin comparability between countries : advantage or disadvantages
Raise1-3admin data and meeting new requirements
Raise1-3integration of multi sources into a single stats
Raise1-3Access to big data
Raise1-3not able to stuck to our statistical definitions anymore
Raise1-4coherence analysis
Raise1-4external partnership
Raise1-5collaboration, modermnization
Raise1-5trust through outreach, communication, education
Raise1-5linking of data, increase richnes
Create1-1New processing system able to process the structured information coming for admin sources in a timely manner
Create1-2Create legislations/agreement for supply and use of alternative source (admin/new) replacing survey data
Create1-2Create new data by data linkage, maybe easier than big data initiatives
Create1-2Create specific teams to research alternative sources such as big data
Create1-3invest in collaboration with other organizations
Create1-4better experience for respondents
Create1-4methodology to relevance of statistics
Create1-4branding of Statistics - awareness
Create1-5harmonization (variables, questionnaires)
Create1-5added value for respondents
Create1-5innovation in data analysis, visualization
GTypeFAFS-GAction
1Eliminate2-1some administrative constraint in the decision making process
1Eliminate2-1number of silo
2Eliminate2-2Eliminate redundant systems. Where many systems are doing same/similar, aim to eliminate.
2Eliminate2-2Eliminate unique definitions for similar concepts
3Eliminate2-3eliminate legacy system
3Eliminate2-3duplication of effort by more collaboration
5Eliminate2-5Eliminate stove pipe silos and create standardise processes
5Eliminate2-5Fear of using non-traditional modes such as social medias
1Reduce2-1number of teams involve in decision process
1Reduce2-1number of owner of various system
1Reduce2-1reduce the number of silo data to a more integrated framework
1Reduce2-1Reduce the number of different questionnaire designs (variation between questionnaires).
1Reduce2-1Avoid over-editing in questionnaire.
1Reduce2-1reduce business contacts by integrating surveys
1Reduce2-1reduce response burden
1Reduce2-1reduce the length and complexity of questionnaires without losing information
1Reduce2-1Reduce the time to make a decision and accept better the risks of innovation such as new collection strategies
1Reduce2-1Reduce traditional collection modes with more non traditional modes i.e. social medias
1Raise2-1realistic funding assesment
1Raise2-1the importance of higher organisation goal over survey specific needs
1Raise2-1complexity of modernisation to higher management
1Raise2-1resistance to change
2Raise2-2aligning the organizational structure to match new systems/processes
2Raise2-2Better and specific documentation for legacy systems. Difficult to transition from old systems to new without understanding what old systems did.
3Raise2-3use modular approach
3Raise2-3sharing code, open source
4Raise2-4Findings new ways to engage respondents for different survey topics and various segment of the population
4Raise2-4respondent relations social vs business surveys are different - e.g. continuity and trust with business surveys
4Raise2-4how and when to prefilled questionnaires - raw or edited data? do we need guidelines?
5Raise2-5creating supporting structure for peer support across different NSI with different capacities
5Raise2-5Digital communication through all stages of processes
5Raise2-5Going beyond conventional cognitive testing with usability testing
1Create2-1new governance to align with new system and process
1Create2-1awareness of the complexity of modersination process
1Create2-1create a system that can deal with multi-mode collection
2Create2-2Create pre-defined quality standards to prevent over editing
2Create2-2Create better standards for documentation.
3Create2-3allocation budget and resources for innovation
3Create2-3create the culture
4Create2-4Develop and implement generalized processing; data collection and common approaches and guidelines applicable to all surveys
5Create2-5interactivity and dialogue with the respondents i.e. "gamification" of surveys
TypeFAFS-GAction
Eliminate3-1stigmatisation of failure in research
Eliminate3-1overlap between innovation and production
Eliminate3-2working towards a gold standard and accept a workable solution
Eliminate3-2Don't be stuck in our old ways.
Eliminate3-2Eliminate roadblocks to creative thinking. Don't be too critical.
Eliminate3-3Long questionnaire that are not suitable for mobile collection
Reduce3-1time frame for decision making (such as funding) in innovation projects
Reduce3-2Risk aversion
Reduce3-3single mode surveys
Reduce3-4reduce costs
Reduce3-4use of surveys using Admin Data or other sources
Reduce3-5reduce the amount of survey data in our statistics - new mix of modes and data sources
Raise3-1expertise in new technologies
Raise3-1international cooperation in innovative project
Raise3-2Invest in human resources (capacity building) to have capacity/capability for technological change.
Raise3-2Increase pace of use of multi-mode surveys
Raise3-3Awareness among others partners of the current collection challenges
Raise3-4useablity to have a better experience for respondent
Raise3-4raise alternative modes to align with respondent requirements
Raise3-5communication using multi-mode package to increase response rates. address differences in communications via apps which calls for for person to download which is different from a link from a web platform.
Raise3-5new method requirement to work with technology constraints.
Raise3-5new methods for new technologies e.g. design for mobile devices. new method requirement to work with technology constraints.
Raise3-5Different concepts definitions categories out of data taking into account mode e,g. big data
Raise3-5Convincing subject matter to use new technology to optimize collection
Create3-1An agile governance in and for innovations
Create3-1structure solely dedicated to transformation
Create3-1modular solutions to reduce numbers of surveys
Create3-1administrative centralized and standardized databases
Create3-1new infrastructure to address new technology
Create3-1profiling functionality in questionnaire
Create3-2apps to measure things that are difficult to measure
Create3-2Create environment conducive to innovation/experiment
Create3-3Community of best practices for modern survey design (mobile /online questionnaire)
Create3-3Design for Smart Phone should tested
Create3-4create new relationship and collaboration with society a nd individuals
Create3-4redesign focus from survey to mode or interface
Create3-5prepare for susceptibility to risks with different digital technologies such as breakdowns. prepare communications and backup plan.
Create3-5new methods for new technologies
TypeFAFS-GAction
Eliminate4-1operational constraint with modern tools
Eliminate4-2eliminate manual processes
Eliminate4-3duplication
Eliminate4-1Monolithical approach.
Eliminate4-4Eliminate non formal management - be more pro active
Eliminate4-4Eliminate bad behaviours with different monitoring techniques such as GPS
Eliminate4-5use of no-reusable devices / platforms
Eliminate4-5eliminate over collection once target has been met
Reduce4-1complexity of monitoring tool
Reduce4-1operational burden by sharing workload (between surveys for exemple)
Reduce4-1paper management burden
Reduce4-2Use of incentives (gifts) which are causing some sample groups to be over represented. (i.e. lower incomes over represented).
Reduce4-2technology barriers by leaving legacy systems
Reduce4-3Technical difficulties; limitations of systems (the ones we put on ourselves).
Reduce4-4Reduce complexity of changing mode during collection
Reduce4-4Reducing the risks on non bias by introducing efficiencies
Reduce4-5focus on hard to get respondents unless they are high priority
Reduce4-5over management and micro management of field force
Raise4-1importance of using GIS data
Raise4-1field logistic complexity in large scale operation.
Raise4-2increase use of integrated case management to transfer/communicate between collection modes
Raise4-2increase use of population registers
Raise4-3Raise modularity of case management systems.
Raise4-4Raise and form a framework to monitor collection
Raise4-4Raise best practices and challenges
Raise4-4Raise international collaboration in regards to different collection systems, collection management, training, etc...
Raise4-5feedback to field interviewers on progress
Raise4-5repurposing digital devices with other data collection or school
Create4-1international cooperation in developing complex system with similar requirements
Create4-1efficient communication strategy between all partners in NSI
Create4-1tools for efficient resource allocation
Create4-1partnership to share resources (including physical resources)
Create4-1automation of allocation of work
Create4-1machine learning
Create4-1Create synergy between social & business statistics data collection.
Create4-1Create automatics allocation of work in the field
Create4-1Create a more flexible communication systems in case management
Create4-1specific data collection coverage target by priority
Create4-1management system on Business statistics
TypeFAFS-GAction
Eliminate5-1traditional approach
Eliminate5-2eliminate barriers to communication with respondents by ensuring multiple contact options (i.e. phone, email, etc)
Eliminate5-2Complex survey forms
Eliminate5-3one dimensional approach of population
Eliminate5-4Eliminate extensive - complicated communication with respondents
Reduce5-1reduce the use of non monetary incentives
Reduce5-2Reduce time lag for collection periods
Reduce5-2Reduce unnecessary information (keep it simple) i.e. too much official information that respondents don't read
Reduce5-3simplify communication such as letter to respondent
Reduce5-3Raise good respondent experience
Reduce5-4Reducing personal support by providing more interactive digital support
Raise5-1increase awareness of collection activites between intercensal period
Raise5-1make the user experience interesting on the collection portal
Raise5-1raise the use of behavioural economics
Raise5-2Increasing outreach to schools or difficult to reach respondents
Raise5-2Increase opportunities for respondent feedback
Raise5-2Self administrated customer service.
Raise5-3personalize on the collection of data on large enterprises
Raise5-4Raise knowledge about key contact informations
Raise5-4Raise good respondent experiences
Create5-1create reports to return to respondents with relevant data
Create5-1increase use of social media
Create5-1create a portal for business respondents
Create5-2personalized feedback data/products to respondents to incentivize
Create5-2Create more effective respondent communication based on behavioural theory and respondent behaviour
Create5-3create opportunity to test different ways of communication
Create5-3create a dedicate team for the enterprise surveys
Create5-4Create user experience measures- index
Create5-4Create new non monetary incentatives
Create5-4Create instant and personalized feedback

Overview by Action Type


TypeFAFS-GAction
Eliminate1-1Some of the policy and legal barriers currently in place restraining access to this information
Eliminate1-2Rationalize/reduce/eliminate redundancies
Eliminate1-2increase use of partial substitution of admin data rather than full substitution aim to eventually get full substitution
Eliminate1-3eliminate redundancy especially for business surveys
Eliminate1-4duplication
Eliminate1-5certain statistics (inconsistent, obsolete, duplication)
Eliminate1-5complexity of data requests
Eliminate1-5paper
Eliminate2-1some administrative constraint in the decision making process
Eliminate2-1number of silo
Eliminate2-2Eliminate redundant systems. Where many systems are doing same/similar, aim to eliminate.
Eliminate2-2Eliminate unique definitions for similar concepts
Eliminate2-3eliminate legacy system
Eliminate2-3duplication of effort by more collaboration
Eliminate2-5Eliminate stove pipe silos and create standardise processes
Eliminate2-5Fear of using non-traditional modes such as social medias
Eliminate3-1stigmatisation of failure in research
Eliminate3-1overlap between innovation and production
Eliminate3-2working towards a gold standard and accept a workable solution
Eliminate3-2Don't be stuck in our old ways.
Eliminate3-2Eliminate roadblocks to creative thinking. Don't be too critical.
Eliminate3-3Long questionnaire that are not suitable for mobile collection
Eliminate4-1operational constraint with modern tools
Eliminate4-2eliminate manual processes
Eliminate4-3duplication
Eliminate4-1Monolithical approach.
Eliminate4-4Eliminate non formal management - be more pro active
Eliminate4-4Eliminate bad behaviours with different monitoring techniques such as GPS
Eliminate4-5use of no-reusable devices / platforms
Eliminate4-5eliminate over collection once target has been met
Eliminate5-1traditional approach
Eliminate5-2eliminate barriers to communication with respondents by ensuring multiple contact options (i.e. phone, email, etc)
Eliminate5-2Complex survey forms
Eliminate5-3one dimensional approach of population
Eliminate5-4Eliminate extensive - complicated communication with respondents
TypeFAFS-GAction
Reduce1-1legal requirements in terms of confidentiality of the information
Reduce1-2Consolidating data requests (could also eliminate)
Reduce1-2Reducing duplication of collecting "same" data from multiple sources ... merging surveys together
Reduce1-3reduce the number of surveys
Reduce1-3dependency on other organizations
Reduce1-4Cost to programs
Reduce1-4burden
Reduce1-4numbers of primary surveys
Reduce1-5cost
Reduce1-5respondents burden
Reduce1-5time to market
Reduce2-1number of teams involve in decision process
Reduce2-1number of owner of various system
Reduce2-1reduce the number of silo data to a more integrated framework
Reduce2-1Reduce the number of different questionnaire designs (variation between questionnaires).
Reduce2-1Avoid over-editing in questionnaire.
Reduce2-1reduce business contacts by integrating surveys
Reduce2-1reduce response burden
Reduce2-1reduce the length and complexity of questionnaires without losing information
Reduce2-1Reduce the time to make a decision and accept better the risks of innovation such as new collection strategies
Reduce2-1Reduce traditional collection modes with more non traditional modes i.e. social medias
Reduce3-1time frame for decision making (such as funding) in innovation projects
Reduce3-2Risk aversion
Reduce3-3single mode surveys
Reduce3-4reduce costs
Reduce3-4use of surveys using Admin Data or other sources
Reduce3-5reduce the amount of survey data in our statistics - new mix of modes and data sources
Reduce4-1complexity of monitoring tool
Reduce4-1operational burden by sharing workload (between surveys for exemple)
Reduce4-1paper management burden
Reduce4-2Use of incentives (gifts) which are causing some sample groups to be over represented. (i.e. lower incomes over represented).
Reduce4-2technology barriers by leaving legacy systems
Reduce4-3Technical difficulties; limitations of systems (the ones we put on ourselves).
Reduce4-4Reduce complexity of changing mode during collection
Reduce4-4Reducing the risks on non bias by introducing efficiencies
Reduce4-5focus on hard to get respondents unless they are high priority
Reduce4-5over management and micro management of field force
Reduce5-1reduce the use of non monetary incentives
Reduce5-2Reduce time lag for collection periods
Reduce5-2Reduce unnecessary information (keep it simple) i.e. too much official information that respondents don't read
Reduce5-3simplify communication such as letter to respondent
Reduce5-3Raise good respondent experience
Reduce5-4Reducing personal support by providing more interactive digital support
TypeFAFS-GAction
Raise1-1A culture shift is required in terms of how this data is the be used, the quality of the information collected and the process used to use this data in official statistics
Raise1-1The possibility that the current historical series may not be maintained
Raise1-1Comparability issues and methodological validation required in using this new data - robustness and quality of the data
Raise1-1The possibility that the concepts may differ with the use of structured\big data
Raise1-2increase use of admin data
Raise1-2increase self response that doesn't require follow up first
Raise1-2personalized feedback for data collection
Raise1-3admin comparability between countries : advantage or disadvantages
Raise1-3admin data and meeting new requirements
Raise1-3integration of multi sources into a single stats
Raise1-3Access to big data
Raise1-3not able to stuck to our statistical definitions anymore
Raise1-4coherence analysis
Raise1-4external partnership
Raise1-5collaboration, modermnization
Raise1-5trust through outreach, communication, education
Raise1-5linking of data, increase richnes
Raise2-1realistic funding assesment
Raise2-1the importance of higher organisation goal over survey specific needs
Raise2-1complexity of modernisation to higher management
Raise2-1resistance to change
Raise2-2aligning the organizational structure to match new systems/processes
Raise2-2Better and specific documentation for legacy systems. Difficult to transition from old systems to new without understanding what old systems did.
Raise2-3use modular approach
Raise2-3sharing code, open source
Raise2-4Findings new ways to engage respondents for different survey topics and various segment of the population
Raise2-4respondent relations social vs business surveys are different - e.g. continuity and trust with business surveys
Raise2-4how and when to prefilled questionnaires - raw or edited data? do we need guidelines?
Raise2-5creating supporting structure for peer support across different NSI with different capacities
Raise2-5Digital communication through all stages of processes
Raise2-5Going beyond conventional cognitive testing with usability testing
Raise3-1expertise in new technologies
Raise3-1international cooperation in innovative project
Raise3-2Invest in human resources (capacity building) to have capacity/capability for technological change.
Raise3-2Increase pace of use of multi-mode surveys
Raise3-3Awareness among others partners of the current collection challenges
Raise3-4useablity to have a better experience for respondent
Raise3-4raise alternative modes to align with respondent requirements
Raise3-5communication using multi-mode package to increase response rates. address differences in communications via apps which calls for for person to download which is different from a link from a web platform.
Raise3-5new method requirement to work with technology constraints.
Raise3-5new methods for new technologies e.g. design for mobile devices. new method requirement to work with technology constraints.
Raise3-5Different concepts definitions categories out of data taking into account mode e,g. big data
Raise3-5Convincing subject matter to use new technology to optimize collection
Raise4-1importance of using GIS data
Raise4-1field logistic complexity in large scale operation.
Raise4-2increase use of integrated case management to transfer/communicate between collection modes
Raise4-2increase use of population registers
Raise4-3Raise modularity of case management systems.
Raise4-4Raise and form a framework to monitor collection
Raise4-4Raise best practices and challenges
Raise4-4Raise international collaboration in regards to different collection systems, collection management, training, etc...
Raise4-5feedback to field interviewers on progress
Raise4-5repurposing digital devices with other data collection or school
Raise5-1increase awareness of collection activites between intercensal period
Raise5-1make the user experience interesting on the collection portal
Raise5-1raise the use of behavioural economics
Raise5-2Increasing outreach to schools or difficult to reach respondents
Raise5-2Increase opportunities for respondent feedback
Raise5-2Self administrated customer service.
Raise5-3personalize on the collection of data on large enterprises
Raise5-4Raise knowledge about key contact informations
Raise5-4Raise good respondent experiences
TypeFAFS-GAction
Create1-1New processing system able to process the structured information coming for admin sources in a timely manner
Create1-2Create legislations/agreement for supply and use of alternative source (admin/new) replacing survey data
Create1-2Create new data by data linkage, maybe easier than big data initiatives
Create1-2Create specific teams to research alternative sources such as big data
Create1-3invest in collaboration with other organizations
Create1-4better experience for respondents
Create1-4methodology to relevance of statistics
Create1-4branding of Statistics - awareness
Create1-5harmonization (variables, questionnaires)
Create1-5added value for respondents
Create1-5innovation in data analysis, visualization
Create2-1new governance to align with new system and process
Create2-1awareness of the complexity of modersination process
Create2-1create a system that can deal with multi-mode collection
Create2-2Create pre-defined quality standards to prevent over editing
Create2-2Create better standards for documentation.
Create2-3allocation budget and resources for innovation
Create2-3create the culture
Create2-4Develop and implement generalized processing; data collection and common approaches and guidelines applicable to all surveys
Create2-5interactivity and dialogue with the respondents i.e. "gamification" of surveys
Create3-1An agile governance in and for innovations
Create3-1structure solely dedicated to transformation
Create3-1modular solutions to reduce numbers of surveys
Create3-1administrative centralized and standardized databases
Create3-1new infrastructure to address new technology
Create3-1profiling functionality in questionnaire
Create3-2apps to measure things that are difficult to measure
Create3-2Create environment conducive to innovation/experiment
Create3-3Community of best practices for modern survey design (mobile /online questionnaire)
Create3-3Design for Smart Phone should tested
Create3-4create new relationship and collaboration with society a nd individuals
Create3-4redesign focus from survey to mode or interface
Create3-5prepare for susceptibility to risks with different digital technologies such as breakdowns. prepare communications and backup plan.
Create3-5new methods for new technologies
Create4-1international cooperation in developing complex system with similar requirements
Create4-1efficient communication strategy between all partners in NSI
Create4-1tools for efficient resource allocation
Create4-1partnership to share resources (including physical resources)
Create4-1automation of allocation of work
Create4-1machine learning
Create4-1Create synergy between social & business statistics data collection.
Create4-1Create automatics allocation of work in the field
Create4-1Create a more flexible communication systems in case management
Create4-1specific data collection coverage target by priority
Create4-1management system on Business statistics
Create5-1create reports to return to respondents with relevant data
Create5-1increase use of social media
Create5-1create a portal for business respondents
Create5-2personalized feedback data/products to respondents to incentivize
Create5-2Create more effective respondent communication based on behavioural theory and respondent behaviour
Create5-3create opportunity to test different ways of communication
Create5-3create a dedicate team for the enterprise surveys
Create5-4Create user experience measures- index
Create5-4Create new non monetary incentatives
Create5-4Create instant and personalized feedback
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