Performing a mix of quant and qual exercises in a 1:1 setting to get to the bottom of individual behaviours and preferences.
Understanding savings & investment triggers
Mass-affluent behaviours
Secondary research to identify signals like frugality, trust in advisory etc., for inspiring features to test.
Trends and signals affecting mass-affluent segment
Mass-affluent behaviours
Clustering qualitative input from all interviews to draft feature requirements for investment and banking related products.
Synthesis to find must have vs essential features
Mass-affluent behaviours
Performing benchmarking scan across peers and other industries to extract best UX/UI best practices to guide prototyping efforts.
UX best practices to guide initial feature explorations
Qual+ qant driven iterations
Qual+ qant driven iterations
Weekly quant and qual deployment + synthesis to make rapid iterations and validation of high-value features.
Testing and sense-making using micro qual + quant
Qual+ qant driven iterations
Qual+ qant driven iterations
Documenting features in a microsite format and framing their value and promise towards end-users.
Clustering features and shaping value propositions
Qual+ qant driven iterations
Qual+ qant driven iterations
Deep collaboration with digital product designer to ensure micro-interactions, UX content and features are represented as per insights.
Detailed prototyping of key interactions and flows
Value proposition attractiveness
Value proposition attractiveness
Testing finalised features and value proposition to refine message, tonality and align on signature features..
Clustering refined features and into value propositions
Value proposition attractiveness
Value proposition attractiveness
Creating overarching UX map for the two key journeys documenting intended UX and data inflow to help set-up build for success
Documenting key journeys and data-flows
Value proposition attractiveness
Value proposition attractiveness
Performing a mix of quant and qual exercises in a 1:1 setting to get to the bottom of individual behaviours and preferences.
Understanding savings & investment triggers
Mass-affluent behaviours
Secondary research to identify signals like frugality, trust in advisory etc., for inspiring features to test.
Trends and signals affecting mass-affluent segment
Mass-affluent behaviours
Clustering qualitative input from all interviews to draft feature requirements for investment and banking related products.
Synthesis to find must have vs essential features
Mass-affluent behaviours
Performing benchmarking scan across peers and other industries to extract best UX/UI best practices to guide prototyping efforts.
UX best practices to guide initial feature explorations
Qual+ qant driven iterations
Qual+ qant driven iterations
Weekly quant and qual deployment + synthesis to make rapid iterations and validation of high-value features.
Testing and sense-making using micro qual + quant
Qual+ qant driven iterations
Qual+ qant driven iterations
Documenting features in a microsite format and framing their value and promise towards end-users.
Clustering features and shaping value propositions
Qual+ qant driven iterations
Qual+ qant driven iterations
Deep collaboration with digital product designer to ensure micro-interactions, UX content and features are represented as per insights.
Detailed prototyping of key interactions and flows
Value proposition attractiveness
Value proposition attractiveness
Testing finalised features and value proposition to refine message, tonality and align on signature features..
Clustering refined features and into value propositions
Value proposition attractiveness
Value proposition attractiveness
Creating overarching UX map for the two key journeys documenting intended UX and data inflow to help set-up build for success
Documenting key journeys and data-flows
Value proposition attractiveness
Value proposition attractiveness
Performing a mix of quant and qual exercises in a 1:1 setting to get to the bottom of individual behaviours and preferences.
Understanding savings & investment triggers
Mass-affluent behaviours
Secondary research to identify signals like frugality, trust in advisory etc., for inspiring features to test.
Trends and signals affecting mass-affluent segment
Mass-affluent behaviours
Clustering qualitative input from all interviews to draft feature requirements for investment and banking related products.
Synthesis to find must have vs essential features
Mass-affluent behaviours
Performing benchmarking scan across peers and other industries to extract best UX/UI best practices to guide prototyping efforts.
UX best practices to guide initial feature explorations
Qual+ qant driven iterations
Qual+ qant driven iterations
Weekly quant and qual deployment + synthesis to make rapid iterations and validation of high-value features.
Testing and sense-making using micro qual + quant
Qual+ qant driven iterations
Qual+ qant driven iterations
Documenting features in a microsite format and framing their value and promise towards end-users.
Clustering features and shaping value propositions
Qual+ qant driven iterations
Qual+ qant driven iterations
Deep collaboration with digital product designer to ensure micro-interactions, UX content and features are represented as per insights.
Detailed prototyping of key interactions and flows
Value proposition attractiveness
Value proposition attractiveness
Testing finalised features and value proposition to refine message, tonality and align on signature features..
Clustering refined features and into value propositions
Value proposition attractiveness
Value proposition attractiveness
Creating overarching UX map for the two key journeys documenting intended UX and data inflow to help set-up build for success
Documenting key journeys and data-flows
Value proposition attractiveness
Value proposition attractiveness
Performing a mix of quant and qual exercises in a 1:1 setting to get to the bottom of individual behaviours and preferences.
Understanding savings & investment triggers
Mass-affluent behaviours
Secondary research to identify signals like frugality, trust in advisory etc., for inspiring features to test.
Trends and signals affecting mass-affluent segment
Mass-affluent behaviours
Clustering qualitative input from all interviews to draft feature requirements for investment and banking related products.
Synthesis to find must have vs essential features
Mass-affluent behaviours
Performing benchmarking scan across peers and other industries to extract best UX/UI best practices to guide prototyping efforts.
UX best practices to guide initial feature explorations
Qual+ qant driven iterations
Qual+ qant driven iterations
Weekly quant and qual deployment + synthesis to make rapid iterations and validation of high-value features.
Testing and sense-making using micro qual + quant
Qual+ qant driven iterations
Qual+ qant driven iterations
Documenting features in a microsite format and framing their value and promise towards end-users.
Clustering features and shaping value propositions
Qual+ qant driven iterations
Qual+ qant driven iterations
Deep collaboration with digital product designer to ensure micro-interactions, UX content and features are represented as per insights.
Detailed prototyping of key interactions and flows
Value proposition attractiveness
Value proposition attractiveness
Testing finalised features and value proposition to refine message, tonality and align on signature features..
Clustering refined features and into value propositions
Value proposition attractiveness
Value proposition attractiveness
Creating overarching UX map for the two key journeys documenting intended UX and data inflow to help set-up build for success
Documenting key journeys and data-flows
Value proposition attractiveness
Value proposition attractiveness
Performing a mix of quant and qual exercises in a 1:1 setting to get to the bottom of individual behaviours and preferences.
Understanding savings & investment triggers
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Secondary research to identify signals like frugality, trust in advisory etc., for inspiring features to test.
Trends and signals affecting mass-affluent segment
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Clustering qualitative input from all interviews to draft feature requirements for investment and banking related products.
Synthesis to find must have vs essential features
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Performing benchmarking scan across peers and other industries to extract best UX/UI best practices to guide prototyping efforts.
UX best practices to guide initial feature explorations
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Weekly quant and qual deployment + synthesis to make rapid iterations and validation of high-value features.
Testing and sense-making using micro qual + quant
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Documenting features in a microsite format and framing their value and promise towards end-users.
Clustering features and shaping value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Deep collaboration with digital product designer to ensure micro-interactions, UX content and features are represented as per insights.
Detailed prototyping of key interactions and flows
Detailed prototyping of key interactions and flows
Qual+ qant driven iterations
Value proposition attractiveness
Testing finalised features and value proposition to refine message, tonality and align on signature features..
Clustering refined features and into value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Creating overarching UX map for the two key journeys documenting intended UX and data inflow to help set-up build for success
Documenting key journeys and data-flows
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Performing a mix of quant and qual exercises in a 1:1 setting to get to the bottom of individual behaviours and preferences.
Understanding savings & investment triggers
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Secondary research to identify signals like frugality, trust in advisory etc., for inspiring features to test.
Trends and signals affecting mass-affluent segment
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Clustering qualitative input from all interviews to draft feature requirements for investment and banking related products.
Synthesis to find must have vs essential features
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Performing benchmarking scan across peers and other industries to extract best UX/UI best practices to guide prototyping efforts.
UX best practices to guide initial feature explorations
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Weekly quant and qual deployment + synthesis to make rapid iterations and validation of high-value features.
Testing and sense-making using micro qual + quant
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Documenting features in a microsite format and framing their value and promise towards end-users.
Clustering features and shaping value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Deep collaboration with digital product designer to ensure micro-interactions, UX content and features are represented as per insights.
Detailed prototyping of key interactions and flows
Detailed prototyping of key interactions and flows
Qual+ qant driven iterations
Value proposition attractiveness
Testing finalised features and value proposition to refine message, tonality and align on signature features..
Clustering refined features and into value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Creating overarching UX map for the two key journeys documenting intended UX and data inflow to help set-up build for success
Documenting key journeys and data-flows
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Performing a mix of quant and qual exercises in a 1:1 setting to get to the bottom of individual behaviours and preferences.
Understanding savings & investment triggers
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Secondary research to identify signals like frugality, trust in advisory etc., for inspiring features to test.
Trends and signals affecting mass-affluent segment
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Clustering qualitative input from all interviews to draft feature requirements for investment and banking related products.
Synthesis to find must have vs essential features
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Performing benchmarking scan across peers and other industries to extract best UX/UI best practices to guide prototyping efforts.
UX best practices to guide initial feature explorations
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Weekly quant and qual deployment + synthesis to make rapid iterations and validation of high-value features.
Testing and sense-making using micro qual + quant
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Documenting features in a microsite format and framing their value and promise towards end-users.
Clustering features and shaping value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Deep collaboration with digital product designer to ensure micro-interactions, UX content and features are represented as per insights.
Detailed prototyping of key interactions and flows
Detailed prototyping of key interactions and flows
Qual+ qant driven iterations
Value proposition attractiveness
Testing finalised features and value proposition to refine message, tonality and align on signature features..
Clustering refined features and into value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Creating overarching UX map for the two key journeys documenting intended UX and data inflow to help set-up build for success
Documenting key journeys and data-flows
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Performing a mix of quant and qual exercises in a 1:1 setting to get to the bottom of individual behaviours and preferences.
Understanding savings & investment triggers
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Secondary research to identify signals like frugality, trust in advisory etc., for inspiring features to test.
Trends and signals affecting mass-affluent segment
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Clustering qualitative input from all interviews to draft feature requirements for investment and banking related products.
Synthesis to find must have vs essential features
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Performing benchmarking scan across peers and other industries to extract best UX/UI best practices to guide prototyping efforts.
UX best practices to guide initial feature explorations
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Weekly quant and qual deployment + synthesis to make rapid iterations and validation of high-value features.
Testing and sense-making using micro qual + quant
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Documenting features in a microsite format and framing their value and promise towards end-users.
Clustering features and shaping value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Deep collaboration with digital product designer to ensure micro-interactions, UX content and features are represented as per insights.
Detailed prototyping of key interactions and flows
Detailed prototyping of key interactions and flows
Qual+ qant driven iterations
Value proposition attractiveness
Testing finalised features and value proposition to refine message, tonality and align on signature features..
Clustering refined features and into value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Creating overarching UX map for the two key journeys documenting intended UX and data inflow to help set-up build for success
Documenting key journeys and data-flows
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Reflections
Reflections
Building a culture of innovation
The difference between a team room and innovation lab is the quality of engagement and co-creation we facilitate.
Sprinting with fun
While the sprint cadence can be intense, there is lot of room to building camaraderie, have fun and still balance life priorities.
Nudging change
Subject Matter Experts may be resistant to change that, but in their reservations lays the key to unlock implementation and buy-in.
View into the process
Reflections
Building a culture of innovation
The difference between a team room and innovation lab is the quality of engagement and co-creation we facilitate.
Sprinting with fun
While the sprint cadence can be intense, there is lot of room to building camaraderie, have fun and still balance life priorities.
Nudging change
Subject Matter Experts may be resistant to change that, but in their reservations lays the key to unlock implementation and buy-in.
Context & Impact
Context
A large legacy bank in Central European region wanted to ensure their mass-affluent customer base did not just leave their savings in a savings account.
We took this bank from suboptimal journeys with generic targeting hooks and products, requiring significant time and data input from the client…
To a digital-first value proposition that is enabled by evergreen customer intelligence and market winning features
Performing a mix of quant and qual exercises in a 1:1 setting to get to the bottom of individual behaviours and preferences.
Understanding savings & investment triggers
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Secondary research to identify signals like frugality, trust in advisory etc., for inspiring features to test.
Trends and signals affecting mass-affluent segment
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Clustering qualitative input from all interviews to draft feature requirements for investment and banking related products.
Synthesis to find must have vs essential features
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Performing benchmarking scan across peers and other industries to extract best UX/UI best practices to guide prototyping efforts.
UX best practices to guide initial feature explorations
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Weekly quant and qual deployment + synthesis to make rapid iterations and validation of high-value features.
Testing and sense-making using micro qual + quant
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Documenting features in a microsite format and framing their value and promise towards end-users.
Clustering features and shaping value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Deep collaboration with digital product designer to ensure micro-interactions, UX content and features are represented as per insights.
Detailed prototyping of key interactions and flows
Detailed prototyping of key interactions and flows
Qual+ qant driven iterations
Value proposition attractiveness
Testing finalised features and value proposition to refine message, tonality and align on signature features..
Clustering refined features and into value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Creating overarching UX map for the two key journeys documenting intended UX and data inflow to help set-up build for success
Documenting key journeys and data-flows
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Performing a mix of quant and qual exercises in a 1:1 setting to get to the bottom of individual behaviours and preferences.
Understanding savings & investment triggers
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Secondary research to identify signals like frugality, trust in advisory etc., for inspiring features to test.
Trends and signals affecting mass-affluent segment
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Clustering qualitative input from all interviews to draft feature requirements for investment and banking related products.
Synthesis to find must have vs essential features
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Performing benchmarking scan across peers and other industries to extract best UX/UI best practices to guide prototyping efforts.
UX best practices to guide initial feature explorations
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Weekly quant and qual deployment + synthesis to make rapid iterations and validation of high-value features.
Testing and sense-making using micro qual + quant
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Documenting features in a microsite format and framing their value and promise towards end-users.
Clustering features and shaping value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Deep collaboration with digital product designer to ensure micro-interactions, UX content and features are represented as per insights.
Detailed prototyping of key interactions and flows
Detailed prototyping of key interactions and flows
Qual+ qant driven iterations
Value proposition attractiveness
Testing finalised features and value proposition to refine message, tonality and align on signature features..
Clustering refined features and into value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Creating overarching UX map for the two key journeys documenting intended UX and data inflow to help set-up build for success
Documenting key journeys and data-flows
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Performing a mix of quant and qual exercises in a 1:1 setting to get to the bottom of individual behaviours and preferences.
Understanding savings & investment triggers
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Secondary research to identify signals like frugality, trust in advisory etc., for inspiring features to test.
Trends and signals affecting mass-affluent segment
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Clustering qualitative input from all interviews to draft feature requirements for investment and banking related products.
Synthesis to find must have vs essential features
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Performing benchmarking scan across peers and other industries to extract best UX/UI best practices to guide prototyping efforts.
UX best practices to guide initial feature explorations
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Weekly quant and qual deployment + synthesis to make rapid iterations and validation of high-value features.
Testing and sense-making using micro qual + quant
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Documenting features in a microsite format and framing their value and promise towards end-users.
Clustering features and shaping value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Deep collaboration with digital product designer to ensure micro-interactions, UX content and features are represented as per insights.
Detailed prototyping of key interactions and flows
Detailed prototyping of key interactions and flows
Qual+ qant driven iterations
Value proposition attractiveness
Testing finalised features and value proposition to refine message, tonality and align on signature features..
Clustering refined features and into value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Creating overarching UX map for the two key journeys documenting intended UX and data inflow to help set-up build for success
Documenting key journeys and data-flows
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Performing a mix of quant and qual exercises in a 1:1 setting to get to the bottom of individual behaviours and preferences.
Understanding savings & investment triggers
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Secondary research to identify signals like frugality, trust in advisory etc., for inspiring features to test.
Trends and signals affecting mass-affluent segment
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Clustering qualitative input from all interviews to draft feature requirements for investment and banking related products.
Synthesis to find must have vs essential features
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Performing benchmarking scan across peers and other industries to extract best UX/UI best practices to guide prototyping efforts.
UX best practices to guide initial feature explorations
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Weekly quant and qual deployment + synthesis to make rapid iterations and validation of high-value features.
Testing and sense-making using micro qual + quant
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Documenting features in a microsite format and framing their value and promise towards end-users.
Clustering features and shaping value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Deep collaboration with digital product designer to ensure micro-interactions, UX content and features are represented as per insights.
Detailed prototyping of key interactions and flows
Detailed prototyping of key interactions and flows
Qual+ qant driven iterations
Value proposition attractiveness
Testing finalised features and value proposition to refine message, tonality and align on signature features..
Clustering refined features and into value propositions
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Creating overarching UX map for the two key journeys documenting intended UX and data inflow to help set-up build for success
Documenting key journeys and data-flows
Mass-affluent behaviours
Qual+ qant driven iterations
Value proposition attractiveness
Impact
Total AUA opportunity by 2026
£ 585 mn
Mass-affluent customer base identified and segmented
2+ mn
Market share of UK mass affluent retail banking market segmented on day 1
14%
Sample size for micro-surveys; overall attractive survey; weekly user-testing
n=300; n=3000; n=32
Identifying concepts, experiences and journeys most likely to resonate. Designing engaging concepts that solve paint points and offer relatively quick value exchange.
Blueprinting a self-driven investment proposition
Blueprinting a self-driven investment proposition
Blueprinting a self-driven investment proposition
Identifying concepts, experiences and journeys most likely to resonate. Designing engaging concepts that solve paint points and offer relatively quick value exchange.
Identifying concepts, experiences and journeys most likely to resonate. Designing engaging concepts that solve paint points and offer relatively quick value exchange.
Identifying concepts, experiences and journeys most likely to resonate. Designing engaging concepts that solve paint points and offer relatively quick value exchange.
Wealth-Management
Mass-affluent
Life-Sciences
R&D Large Molecules
Wealth-Management
Mass-affluent
Life-Sciences
R&D Large Molecules
Wealth-Management
Mass-affluent
Life-Sciences
R&D Large Molecules