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Business & product Involvment
Business & product Involvment
Business & Product Involvment
Designers often request a seat at the table but they rarely know what to do when they get there. I specialise in facilitating design decisions at this level through evidence based design.
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01
Usage Analytics
Usage Analytics
Launching the beta was only the first step, understanding how users actually interacted with the tool was critical for guiding its evolution. If usage data isn’t analysed and acted upon, design debt builds up, leading to features that miss user needs and frustration that erodes trust. By pairing behavioural analytics with NPS feedback, I identified which design patterns required the most attention and prioritised improvements accordingly. Working closely with the PM and developers, we built a roadmap that ensured each iteration addressed the highest-impact areas, keeping the product aligned with expectations and growing more valuable over time.
Launching the beta was only the first step, understanding how users actually interacted with the tool was critical for guiding its evolution. If usage data isn’t analysed and acted upon, design debt builds up, leading to features that miss user needs and frustration that erodes trust. By pairing behavioural analytics with NPS feedback, I identified which design patterns required the most attention and prioritised improvements accordingly. Working closely with the PM and developers, we built a roadmap that ensured each iteration addressed the highest-impact areas, keeping the product aligned with expectations and growing more valuable over time.
Launching the beta was only the first step, understanding how users actually interacted with the tool was critical for guiding its evolution. If usage data isn’t analysed and acted upon, design debt builds up, leading to features that miss user needs and frustration that erodes trust. By pairing behavioural analytics with NPS feedback, I identified which design patterns required the most attention and prioritised improvements accordingly. Working closely with the PM and developers, we built a roadmap that ensured each iteration addressed the highest-impact areas, keeping the product aligned with expectations and growing more valuable over time.
Launching the beta was only the first step, understanding how users actually interacted with the tool was critical for guiding its evolution. If usage data isn’t analysed and acted upon, design debt builds up, leading to features that miss user needs and frustration that erodes trust. By pairing behavioural analytics with NPS feedback, I identified which design patterns required the most attention and prioritised improvements accordingly. Working closely with the PM and developers, we built a roadmap that ensured each iteration addressed the highest-impact areas, keeping the product aligned with expectations and growing more valuable over time.
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02
Leading Global Product Team Workshops
Capabilities + Context = Concept
Traditional design thinking frameworks, like the double diamond, often fall short when applied to AI. They can lead teams to tackle high-risk problems where there’s little room for error, an approach that doesn’t play to AI’s strengths. Drawing on research from leading academics in AI implementation, I adopted a new framework: Capabilities + Context = Concept. This method shifts the focus toward identifying what AI can reliably do (capabilities) and where it fits naturally into user workflows (context). I applied this approach in workshops with global product teams, leading to the creation of AI-driven solutions that were both more practical and more effective.
Traditional design thinking frameworks, like the double diamond, often fall short when applied to AI. They can lead teams to tackle high-risk problems where there’s little room for error, an approach that doesn’t play to AI’s strengths. Drawing on research from leading academics in AI implementation, I adopted a new framework: Capabilities + Context = Concept. This method shifts the focus toward identifying what AI can reliably do (capabilities) and where it fits naturally into user workflows (context). I applied this approach in workshops with global product teams, leading to the creation of AI-driven solutions that were both more practical and more effective.
Traditional design thinking frameworks, like the double diamond, often fall short when applied to AI. They can lead teams to tackle high-risk problems where there’s little room for error, an approach that doesn’t play to AI’s strengths. Drawing on research from leading academics in AI implementation, I adopted a new framework: Capabilities + Context = Concept. This method shifts the focus toward identifying what AI can reliably do (capabilities) and where it fits naturally into user workflows (context). I applied this approach in workshops with global product teams, leading to the creation of AI-driven solutions that were both more practical and more effective.
Traditional design thinking frameworks, like the double diamond, often fall short when applied to AI. They can lead teams to tackle high-risk problems where there’s little room for error, an approach that doesn’t play to AI’s strengths. Drawing on research from leading academics in AI implementation, I adopted a new framework: Capabilities + Context = Concept. This method shifts the focus toward identifying what AI can reliably do (capabilities) and where it fits naturally into user workflows (context). I applied this approach in workshops with global product teams, leading to the creation of AI-driven solutions that were both more practical and more effective.
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03
Product Positioning
Product Positioning
Search is no longer one-size-fits-all. As traditional search and generative AI tools evolve side by side, we’re entering an expanding spectrum of search functionality, where general tools provide breadth, and specialised search experiences deliver depth for specific user groups or research areas. Positioning a product within this landscape means identifying the niches where it can create unique value, and tailoring the experience to meet those precise needs.
As a business, we need to know where we are going to sit in this market space. Every day, I monitor the competitive landscape of search tools. Keeping a finger on the pulse is vital in identifying emerging opportunities, anticipating shifts in functionality, and ensuring our design direction remains both differentiated and future-proof. This vigilance allows me to translate market insights into innovative design strategies that not only keep us competitive but also inspire new, product experience's.
Search is no longer one-size-fits-all. As traditional search and generative AI tools evolve side by side, we’re entering an expanding spectrum of search functionality, where general tools provide breadth, and specialised search experiences deliver depth for specific user groups or research areas. Positioning a product within this landscape means identifying the niches where it can create unique value, and tailoring the experience to meet those precise needs.
As a business, we need to know where we are going to sit in this market space. Every day, I monitor the competitive landscape of search tools. Keeping a finger on the pulse is vital in identifying emerging opportunities, anticipating shifts in functionality, and ensuring our design direction remains both differentiated and future-proof. This vigilance allows me to translate market insights into innovative design strategies that not only keep us competitive but also inspire new, product experience's.
Search is no longer one-size-fits-all. As traditional search and generative AI tools evolve side by side, we’re entering an expanding spectrum of search functionality, where general tools provide breadth, and specialised search experiences deliver depth for specific user groups or research areas. Positioning a product within this landscape means identifying the niches where it can create unique value, and tailoring the experience to meet those precise needs.
As a business, we need to know where we are going to sit in this market space. Every day, I monitor the competitive landscape of search tools. Keeping a finger on the pulse is vital in identifying emerging opportunities, anticipating shifts in functionality, and ensuring our design direction remains both differentiated and future-proof. This vigilance allows me to translate market insights into innovative design strategies that not only keep us competitive but also inspire new, product experience's.
Search is no longer one-size-fits-all. As traditional search and generative AI tools evolve side by side, we’re entering an expanding spectrum of search functionality, where general tools provide breadth, and specialised search experiences deliver depth for specific user groups or research areas. Positioning a product within this landscape means identifying the niches where it can create unique value, and tailoring the experience to meet those precise needs.
As a business, we need to know where we are going to sit in this market space. Every day, I monitor the competitive landscape of search tools. Keeping a finger on the pulse is vital in identifying emerging opportunities, anticipating shifts in functionality, and ensuring our design direction remains both differentiated and future-proof. This vigilance allows me to translate market insights into innovative design strategies that not only keep us competitive but also inspire new, product experience's.
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