Data Trust by Design: Practical Workshop

Data Trust by Design: Practical Workshop

1,000.00

A practical workshop to help you, your team and your organisation get closer to your customers’, increase trust and design competitively differentiated data-driven products and services.

Here’s what people are saying about our work:


“When it comes to data trust, there’s a heap of complexity and nuance. You’ve got to establish a clear view, get people bought in and progressively build upon that foundation. >X can help make this happen quickly.”
— Tony Wu, CEO at WePloy

“Cultivating trust is the core responsibility for our next generation of designers. If you don’t have trust, you don’t have customers - and without customers, you don’t have a company.”
— Raffaela Rein, CEO, CareerFoundry

“Building trust by design affects all parts of the organization: from product and strategy to legal and engineering. >X was critical in helping us to bring in the right people at the right time, and create the right foundation for cross-functional working going forward.”
— Emily Stott, Go-to-Market Manager at Telefónica Alpha Health

“>X's playbook showcases leading thinking and practical approaches to data transparency and trust design. Use it as a springboard to evolve your product design and development process. Never stop striving to create new and unique value for your customers.”
— Ramzi Yakob, Digital Strategy Lead for Digital Product & Design at Aviva

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All the details...

Amidst evolving data regulations, shifting consumer attitudes and behaviours, and an accelerated pace of technological change, data trust has never been more important. Yet most organisations early attempts to combat this change have failed miserably. The design patterns relied upon have negatively impacted the customer experience, resulting in deep frustration, multi-billion dollar lawsuits and a plethora of operational difficulties.

Most organisations have failed to earn back the trust of their customers. As a result, data trust is perceived as a business challenges rather than an opportunity to deliver new customer and business value. But it doesn't have to be this way.

In this hands on workshop, Nathan Kinch, Partner of >X and author of Designing for Trust: The Data Transparency Playbook will introduce Data Trust by Design (DTbD); the principles, the design patterns and the toolkit of design practices.

“Years ago I urged people to embed Privacy, by Design. With trust at an all-time low, it's now time to design for trust. And the best way to overcome the data-trust gap is with Data Trust by Design. This is an essential ingredient to enabling user empowerment."
— Ann Cavoukian, Ph.D., LL.D. (Hon.), M.S.M. Privacy by Design Centre of Excellence, Ryerson University and Inventor, Privacy by Design

You'll work on a series of practical activities. You'll produce output. You'll put that output to the test. You'll gain experience you can take to work the following day. You'll also be supported with further content and resources to help you keep applying DTbD in a way that creates value for your customers and the organisation you work with.

Workshop Outcomes

  1. Clear and actionable insights into the regulatory, behavioural and technological trends transforming the personal information economy (plus how they apply to the design of products and services)

  2. Learn to practically apply principles, patterns and practices to consistently design inherently trustworthy, competitively differentiated data products and services

  3. A copy of Designing for Trust: The Data Transparency Playbook (Second Edition, 2018) plus a series of resources to support you in the application of DTbD at work


Format

The format is largely the same for our one and two day workshops.

Typically we start with some pre work (a value add rather than a necessity) that supports participants in establishing a shared context. In some cases this is about establishing a broad context. At times it will help us get much clearer on the focus for the day (i.e. a specific business or customer problem).

Session 1 (Focus area 1: Data trust economy market intelligence)

Session 1 is a market trajectory and business model design exercise (One day workshops limit this exercise to market trajectory. Two day workshops include business model design).

We’ll start by introducing participants to key global and regional trends, specifically relating to the data trust economy. We’ll follow up by framing hypotheses about how these trends might impact the business and its relationships. These hypotheses will form the basis for an evolved business model canvas and series of business model experiments.

Pre-work (optional, but recommended)

  • Business model canvas detailing key assumptions

  • >X has access to data on business model progress, experiments conducted to date, and anything that enables us to get a clearer view of their trajectory

  • Copy of The Trust Economy for pre-reading (designed to evoke thought)

Session Structure (2 - 4 hours)

  • Introductions and context setting (10 mins)

  • Group sharing to better understand business model drivers (15 mins)

  • Key trend presentation (1 hour)

  • Q&A (15 mins)Break (15 mins)

  • Collaborative business model canvas assumption exercise (45 mins)

  • Collaborative riskiest assumptions exercise (30 mins)

  • Support participants in listing business model experiments to conduct (30 mins)

Key outcomes

  • Revised business model canvas

  • Riskiest assumptions defined

  • List of prioritised business model experiments

  • Access to actionable market intelligence

Session 2 (Focus area 2: Data trust economy customer intelligence)

Session 2 is about customer insight. Founders will be introduced to jobs to be done theory and practice. Participants will be introduced to behavioural economic theories that’ll help deepen their understanding of certain customer behaviours, specifically those related to shifting trust and behaviour in their favour. They'll then be guided through a simple customer intelligence process to ensure they keep getting out of the building and learn to consistently shift trust in their favour.

From this basis participants can further refine their business model, optimise their value proposition and ruthlessly focus on the unique customer value they intend to deliver.

Pre-work (optional)

  • Pre-reading and watching (content provided by >X)

  • >X has access to customer intelligence (personas, customer journey maps, user interviews etc.)


Session Structure (2 - 4 hours)

  • Context and objectives (10 mins)

  • An introduction to Jobs Theory (20 mins)

  • Practical exercise: Uncovering the job to be done (1 hour)

  • Q&A (15 mins)Break (15 mins)

  • Practical exercise: Switch interviews (1 hour)

  • Collaboratively defining a customer intelligence roadmap (30 mins)

  • Q&A (15 mins)

Key outcomes

  • Customer intelligence roadmap

  • New tools and approaches

  • Ability to objectively refine and (re)design customer value proposition


*Note: Some of our workshops focus only on Session 3: Data Trust by Design. This is decided (by the client/participants) on a workshop by workshop basis.


Session 3 (Focus area 3: Data Trust by Design)

During this workshop we’ll define a specific, data heavy customer problem and iteratively design and validate a trustworthy experience. We’ll put the experience to the test by;

  • Assessing comprehension

  • Measuring time to comprehension

  • Measuring propensity to share

  • Capturing sentiment and further contextual (qualitative) insights


Pre-work (necessary)

  • Recruit research participants (to participate in usability testing and contextual inquiry)

  • Participants define area of focus (+ share existing data on efficacy of UX)

  • >X share pre-reading materials to build shared understanding

Session Structure (4 - 8 hours)

  • Introductions and context (10 mins)

  • DTbD: Principles (20 mins)

  • DTbD: Patterns (20 mins)

  • DTbD: Practices (20 mins)

  • Q&A (20 mins)Break (15 mins)

  • Practical design activity 1: Applying DTbD (1 hour)

  • Show and tell (30 mins)

  • Refinement (30 mins)Lunch (30 mins)

  • Practical design activity 2: Putting it to the test (1 hour)

  • Show and tell (30 mins)

  • Refinement (30 mins)

  • Break (15 mins)

  • Roadmapping

Key outcomes

  • New toolkit to design for data trust

  • Practical experience designing for data trustNew, validated (by customers’) design output

  • Documented data trust design roadmap

 

What people are saying about our work


“When it comes to data trust, there’s a heap of complexity and nuance. You’ve got to establish a clear view, get people bought in and progressively build upon that foundation. >X can help make this happen quickly.”
— Tony Wu, CEO at WePloy


“Cultivating trust is the core responsibility for our next generation of designers. If you don’t have trust, you don’t have customers - and without customers, you don’t have a company.”
— Raffaela Rein, CEO, CareerFoundry

 

“Building trust by design affects all parts of the organization: from product and strategy to legal and engineering. >X was critical in helping us to bring in the right people at the right time, and create the right foundation for cross-functional working going forward.”
— Emily Stott, Go-to-Market Manager at Telefónica Alpha Health


“>X's playbook showcases leading thinking and practical approaches to data transparency and trust design. Use it as a springboard to evolve your product design and development process. Never stop striving to create new and unique value for your customers.”
— Ramzi Yakob, Digital Strategy Lead for Digital Product & Design at Aviva