Consumer Privacy Preferences Study - Develop Supporting Evidence for Your Privacy Program
Having trouble getting senior executives to invest in you’re a privacy program? Need evidence to build a business case? Trying to pivot your privacy program from a cost centre to a profit centre?
We can help you
• Measure the effectiveness of your privacy program, customer privacy preferences and its impact on the business • Develop evidence to support a business proposal and/or to justify your privacy program initiatives • Gain traction at the executive table, by shifting the focus of your privacy program from that of compliance, to helping the business develop consumer trust and brand loyalty
Our Consumer Privacy Preference Study fully conforms with the ISO 31700 Privacy by Design standard and will help you
• Segment your customers, based their privacy preferences • Understand the strengths and weaknesses of your existing privacy program • Gain actionable insights, that can be benchmarked against and improved upon
You will receive
• Powerpoint slides with Summary Charts and Data Tables • Excel Spreadsheet with raw responses
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Please note the following
You are responsible for providing the participant list and distributing the study
You are responsible for obtaining or having participant consent to engage in the study
The study is subject to minimum quotas, to ensure accurate analysis and insights
The study is totally anonymised and we do not collect any personal information
You will provide an incentive to ensure participant engagement
We do not guarantee and are not responsible for ensuring study engagement or completion by participants
About Lean Prototype Machine
Lean Prototype Machine is a boutique privacy and information security compliance consulting service based in Australia. We work with high growth companies that are looking to implement ISO27001, SOC, NIST CSF or comply with the CCPA, HIPAA and GDPR. Lean Prototype Machine is led by Chris Tia - CIPP/US, CIPP/E, CIPT and certified ISO27001 Internal Auditor, NIST CSF, COBIT, OneTrust Professional and Advanced SOC.
Chris is an experienced digital data technologist specialising in privacy and data protection solutions. He helps organisations
Manage online risk to protect business reputation, continuity and consumer trust
Integrate governance processes, benchmarks & standards to protect digital & data assets
Initiate strategic change by increasing awareness of data protection policies, obligations & best practices
Automate privacy operations to meet regulatory requirements and demonstrate compliance
Chris has an extensive background in system analysis, technical infrastructure design and applications development - with hands on experience across varied technologies including telecommunications, high availability systems, eCommerce, RPA, Process Mining, data analytics, API micro-services and cloud based platforms.