SAM

MURPHY

DESIGN

SAM

MURPHY

DESIGN

CLEARING 2022

Connecting with a misunderstood audience

ROLE

Senior Product Designer partnering with another Senior Designer. Responsible for research synthesis, discovery, and UX.

GOAL

To transform chronic pain care and gain the trust of patients by understanding them on a deeper level

OUTCOME

Tested and successfully validated a care-forward business model by launching a new onboarding

51.6

million

people

in the US have chronic pain

and only

7,012 specialists

are trained to treat it

Despite the best intentions, Clearing’s initial product-forward approach wasn’t landing.

When I joined, the business was at an inflection point. Clearing’s mission was noble and ambitious: expand access to chronic pain care for millions. Patients would complete a digital medical intake in order to receive a custom prescription compound cream and personalized digital exercises. Below is the story of how we used design to pivot from a misaligned product to a solution that truly addressed the needs of chronic pain sufferers.

Judged, dismissed, abandoned

We kicked off the project with ethnographic research—interviewing 12 people with chronic pain from diverse background and stages in life. They shared experiences of being judged by doctors, being told they were imagining their pain, getting labeled drug-seekers, and ultimately feeling left to navigate a complex healthcare system on their own.

The pivotal point of this project for me was realizing that these participants weren’t only looking to fix their pain. They wanted to be understood. It became clear that our solution needed to go beyond physical relief—it had to address the emotional and psychological aspects of chronic pain as well.

All paticipants needed support, but the nature of it varied depending on how long they’d been dealing with chronic pain.

PAIN STARTS

Diagnosis Detectives

1-5 years in pain

  • Felt isolated from loved ones + overwhelmed from searching
  • Desperate for a diagnosis
  • Needed answers from a doctor

PAIN STILL UNRESOLVED

Tenacious Triers

6-10 years in pain

  • Felt frustrated by failed treatments + judged by doctors
  • Had some clarity into their pain
  • Needed support from a care team

ACCEPTANCE

Multitasking Managers

11+ years in pain

  • Felt deeply resentful of doctors
  • Lived their life keeping flare-ups under control
  • Needed structure + check-ins

User personas were created as a part of this research, each grouped by pain duration.

A care-forward companion

Participants were asked to design their ideal care system—basically if they had a magic wand, what would they want for themselves. We then used this to shift our business model. From there, Clearing hired relief coaches for ongoing support, doctors would provide comprehensive treatment plans, and patients would stay on track and complete tasks through an app.

Promising personalized care

We had a week to figure out a direction for our new onboarding. We started by creating rapid Figma prototypes to user test but quickly realized participant impressions were skewed when they couldn’t input their own answers. This led us to team up with the engineering team to build a coded, fully functioning flow where participants could input real data and see real-time responses. When promising personalized care, they expected feedback that addressed their specific pain and life experiences.

Choose your path

After learning that there was no one-size-fits-all approach for such a complicated journey, we designed a flow that guided users down one of five distinct paths based on their selected goals. Each path would then dynamically adjust based on our persona’s complex needs and experiences.

Generic

Focused on a combination of treatments and support

feel long term relief

understand my pain

work with pain doctors

be heard and supported

access pain relief products

manage pain in my daily life

5,898

Relief Coach

Focused on emotional/general support

be heard and supported

manage pain in my daily life

1,856

Doctor

Focused on doctor-led care and educational moments

understand my pain

be heard and supported

1,378

Treatment

Focused on treatments offered with less focus on support

feel long term relief

access pain relief products

958

Number of users that went down each path posts-launch

 

*RX path mimicked the old product-led offering as a baseline of the test

RX

Focused on quick relief through prescriptions and products*

access pain relief products

538

As someone who values the details, the toughest part of this project for me was stepping back from polishing the design before launch. With time constraints and no design system, we decided to deliver a functional solution to test with even if the visuals weren’t perfect. I learned a lot about trusting the process during this project.

What I learned

Care-forward flows improved conversion over RX

The RX path (a replication of our original product-only flow) was selected the least and converted at the lowest rate, proving to the business that care-forward wasn’t just right; it was essential to providing impactful care to patients.

Personalized flows allowed for more targeted testing

Our bifurcated approach was a goldmine for targeted testing. It allowed us the tweak our messaging for each of the three distinct personas. We could now validate with data, what each group needed to see in order to convert. See examples of the targeted tests we ran, here.

Promising personalized care demanded synchronous doctor’s visits

Adding synchronous visits would have sent our subscription costs soaring and our existing $50/month model was already tough on most patients, who begged for insurance options.

Enter COVID-19, where new billing codes unexpectedly solved Clearing’s pricing challenges. Check out my Continuous Care project for more.

Curious for more?

I analyzed the inputs of 3,676 users who went through the funnel

I focused on two key variables: age range and pain duration. From there I was able to successfully segment our patients into the three personas within each path (Relief Coach, Generic, etc). This helped me understand which messaging resonated best with each persona which becamse the foundation for even deeper experimentation.

Generic path findings

be heard and supported

work with pain doctors

manage pain in my daily life

access pain relief products

understand my pain

feel long term relief

I focused on two key variables: age range and pain duration. From there I was able to successfully segment our patients into the three personas within each path (Relief Coach, Generic, etc). This helped me understand which messaging resonated best with each persona which becamse the foundation for even deeper experimentation.

The results

Patients who selected 4 pain goals in the Generic Focus had a higher conversion rate (10%) compared to those who selected all pain goals (3%)

Our hypothesis

There were 3 different mindsets when starting onboarding:

  1. Those that knew both what they wanted and didn’t — Patients selecting 4 pain goals had a clear idea of what they were looking for in their care, and likely arrived with higher intent
  2. Those actively in pain while onboarding — Our research revealed that long-term chronic pain can cause a lack of focus and cognitive distortions, and often, people are searching for care when they are actively in pain.
  3. Those unsure about the type of care they needed — Those without a clear idea of their needs had lower intent and were more likely to drop off later in the process.

Next steps

Based on my analysis, we identified the “Tenacious Triers” within the flow by their age and pain duration. This group had the highest conversion rates within the Generic Focus (13%).

 

We knew that “Triers” were starting to understand their pain and what treatments have or haven’t worked, making them skeptical but motivated to find relief.

 

To better cater to them within the Generic Focus, we ran AB tests personalized to their needs. We surfaced information about how we could help their specific type of pain, provided details info about the care team, and reassured them that we evaluate past treatments to find new paths toward relief.

Relief Coach path findings

be heard and supported

manage pain in my daily life

I focused on two key variables: age range and pain duration. From there I was able to successfully segment our patients into the three personas within each path (Relief Coach, Generic, etc). This helped me understand which messaging resonated best with each persona which becamse the foundation for even deeper experimentation.

The results

Prior to launch, we expected patients going through the Relief Coach Focus to be primarily interested in emotional support and less interested in physical products. While users were required to select “be heard and supported” to go down this flow, a lot of them also selected “access pain relief products” and “work with pain doctors”.

 

From my analysis, we concluded that the users not converting in the Relief Coach Focus were likely our “Diagnosis Detectives”, while those going through the Relief Coach Focus, and converting, were also our “Tenacious Triers”.

Our hypothesis

We hypothesized that the Relief Coach audience was actually searching for an integrated approach to pain care. They recognized the value of being heard and supported but also wanted additional services. This audience resembled our new care-forward service the most.

 

Next steps

From my analysis, we concluded that the users not converting in the Relief Coach Focus were likely our “Diagnosis Detectives”, while those going through the Relief Coach Focus, and converting, were also our “Tenacious Triers”.

 

By tailoring our approach, we were able to better cater our AB tests to the specific needs of each audience, improving overall user engagement and conversion rates.

  1. Generic Focus — We addressed the needs to “Diagnosis Detectives” that were dropping off in this focus, by providing more information and support around finding the root cause of their pain.
  2. Relief Coach Focus — We spoke directly to “Tenacious Triers” by emphasizing the integrated approach and the additional aspects of pain care they were looking for.

SAM

MURPHY

DESIGN

SAM

MURPHY

DESIGN

CLEARING 2022

Connecting with a misunderstood audience

ROLE

Senior Product Designer partnering with another Senior Designer. Responsible for research synthesis, discovery, and UX.

GOAL

To transform chronic pain care and gain the trust of patients by understanding them on a deeper level

OUTCOME

Tested and successfully validated a care-forward business model by launching a new onboarding

51.6

million

people

in the US have chronic pain

and only

7,012 specialists

are trained to treat it

Despite the best intentions, Clearing’s initial product-forward approach wasn’t landing.

When I joined, the business was at an inflection point. Clearing’s mission was noble and ambitious: expand access to chronic pain care for millions. Patients would complete a digital medical intake in order to receive a custom prescription compound cream and personalized digital exercises. Below is the story of how we used design to pivot from a misaligned product to a solution that truly addressed the needs of chronic pain sufferers.

Judged, dismissed, abandoned

We kicked off the project with ethnographic research—interviewing 12 people with chronic pain from diverse background and stages in life. They shared experiences of being judged by doctors, being told they were imagining their pain, getting labeled drug-seekers, and ultimately feeling left to navigate a complex healthcare system on their own.

The pivotal point of this project for me was realizing that these participants weren’t only looking to fix their pain. They wanted to be understood. It became clear that our solution needed to go beyond physical relief—it had to address the emotional and psychological aspects of chronic pain as well.

All paticipants needed support, but the nature of it varied depending on how long they’d been dealing with chronic pain.

PAIN STARTS

Diagnosis

Detectives

1-5 years in pain

  • Felt isolated from loved ones + overwhelmed from searching
  • Desperate for a diagnosis
  • Needed answers from a doctor

Tenacious

Triers

6-10 years in pain

  • Felt frustrated by failed treatments + judged by doctors
  • Had some clarity into their pain
  • Needed support from a care team

PAIN STILL UNRESOLVED

ACCEPTANCE

Multitasking

Managers

11+ years in pain

  • Felt deeply resentful of doctors
  • Lived their life keeping flare-ups under control
  • Needed structure + check-ins

User personas were created as a part of this research, each grouped by pain duration.

A care-forward companion

Participants were asked to design their ideal care system—basically if they had a magic wand, what would they want for themselves. We then used this to shift our business model. From there, Clearing hired relief coaches for ongoing support, doctors would provide comprehensive treatment plans, and patients would stay on track and complete tasks through an app.

Relief coach

answers questions, listens, coordinates care, support through flare-ups

Relief

dashboard

keeps patients on track with their treatment plan and offers digestible tasks

Documentation

keeps records in one place to give patients a full picture of their care

Treatments

prescribed by their doctor, offering a mix of physical and digital therapies

Conversational

Empathetic

Educational

Personalized

Symptom tracking

show effectiveness of care so patients and doctors can track progress

Promising personalized care

We had a week to figure out a direction for our new onboarding. We started by creating rapid Figma prototypes to user test but quickly realized participant impressions were skewed when they couldn’t input their own answers. This led us to team up with the engineering team to build a coded, fully functioning flow where participants could input real data and see real-time responses. When promising personalized care, they expected feedback that addressed their specific pain and life experiences.

20

user tests

170

chronic pain participants

15

iterations

Choose your path

After learning that there was no one-size-fits-all approach for such a complicated journey, we designed a flow that guided users down one of five distinct paths based on their selected goals. Each path would then dynamically adjust based on our persona’s complex needs and experiences.

Generic

Focused on a combination of treatments and support

feel long term relief

understand my pain

work with pain doctors

be heard and supported

access pain relief products

manage pain in my daily life

5,898

Relief Coach

Focused on emotional/general support

be heard and supported

manage pain in my daily life

1,856

Doctor

Focused on doctor-led care and educational moments

understand my pain

be heard and supported

1,378

Treatment

Focused on treatments offered with less focus on support

feel long term relief

access pain relief products

958

RX

Focused on quick relief through prescriptions and products*

access pain relief products

538

Number of users that went down each path post-launch

*RX path mimicked the old product-led offering as a baseline of the test

As someone who values the details, the toughest part of this project for me was stepping back from polishing the design before launch. With time constraints and no design system, we decided to deliver a functional solution to test with even if the visuals weren’t perfect. I learned a lot about trusting the process during this project.

Example screens from new onboarding

What I learned

Care-forward flows improved conversion over RX

The RX path (a replication of our original product-only flow) was selected the least and converted at the lowest rate, proving to the business that care-forward wasn’t just right; it was essential to providing impactful care to patients.

Personalized flows allowed for more targeted testing

Our bifurcated approach was a goldmine for targeted testing. It allowed us the tweak our messaging for each of the three distinct personas. We could now validate with data, what each group needed to see in order to convert. See examples of the targeted tests we ran, here.

Promising personalized care demanded synchronous doctor’s visits

Adding synchronous visits would have sent our subscription costs soaring and our existing $50/month model was already tough on most patients, who begged for insurance options.

Enter COVID-19, where new billing codes unexpectedly solved Clearing’s pricing challenges. Check out my Continuous Care project for more.

Curious for more?

I analyzed the inputs of 3,676 users who went through the funnel

I focused on two key variables: age range and pain duration. From there I was able to successfully segment our patients into the three personas within each path (Relief Coach, Generic, etc). This helped me understand which messaging resonated best with each persona which becamse the foundation for even deeper experimentation.

Generic path findings

I focused on two key variables: age range and pain duration. From there I was able to successfully segment our patients into the three personas within each path (Relief Coach, Generic, etc). This helped me understand which messaging resonated best with each persona which becamse the foundation for even deeper experimentation.

be heard and supported

work with pain doctors

manage pain in my daily life

access pain relief products

understand my pain

feel long term relief

The results

Patients who selected 4 pain goals in the Generic Focus had a higher conversion rate (10%) compared to those who selected all pain goals (3%)

Our hypothesis

There were 3 different mindsets when starting onboarding:

  1. Those that knew both what they wanted and didn’t — Patients selecting 4 pain goals had a clear idea of what they were looking for in their care, and likely arrived with higher intent
  2. Those actively in pain while onboarding — Our research revealed that long-term chronic pain can cause a lack of focus and cognitive distortions, and often, people are searching for care when they are actively in pain.
  3. Those unsure about the type of care they needed — Those without a clear idea of their needs had lower intent and were more likely to drop off later in the process.

 

Next steps

Based on my analysis, we identified the “Tenacious Triers” within the flow by their age and pain duration. This group had the highest conversion rates within the Generic Focus (13%).

 

We knew that “Triers” were starting to understand their pain and what treatments have or haven’t worked, making them skeptical but motivated to find relief.

 

To better cater to them within the Generic Focus, we ran AB tests personalized to their needs. We surfaced information about how we could help their specific type of pain, provided details info about the care team, and reassured them that we evaluate past treatments to find new paths toward relief.

Relief Coach path findings

I focused on two key variables: age range and pain duration. From there I was able to successfully segment our patients into the three personas within each path (Relief Coach, Generic, etc). This helped me understand which messaging resonated best with each persona which becamse the foundation for even deeper experimentation.

be heard and supported

manage pain in my daily life

The results

Prior to launch, we expected patients going through the Relief Coach Focus to be primarily interested in emotional support and less interested in physical products. While users were required to select “be heard and supported” to go down this flow, a lot of them also selected “access pain relief products” and “work with pain doctors”.

 

From my analysis, we concluded that the users not converting in the Relief Coach Focus were likely our “Diagnosis Detectives”, while those going through the Relief Coach Focus, and converting, were also our “Tenacious Triers”.

Our hypothesis

We hypothesized that the Relief Coach audience was actually searching for an integrated approach to pain care. They recognized the value of being heard and supported but also wanted additional services. This audience resembled our new care-forward service the most.

Next steps

From my analysis, we concluded that the users not converting in the Relief Coach Focus were likely our “Diagnosis Detectives”, while those going through the Relief Coach Focus, and converting, were also our “Tenacious Triers”.

 

By tailoring our approach, we were able to better cater our AB tests to the specific needs of each audience, improving overall user engagement and conversion rates.

  1. Generic Focus — We addressed the needs to “Diagnosis Detectives” that were dropping off in this focus, by providing more information and support around finding the root cause of their pain.
  2. Relief Coach Focus — We spoke directly to “Tenacious Triers” by emphasizing the integrated approach and the additional aspects of pain care they were looking for.

SAM

MURPHY

DESIGN

SAM

MURPHY

DESIGN

CLEARING 2022

Connecting with a misunderstood audience

ROLE

Senior Product Designer partnering with another Senior Designer. Responsible for research synthesis, discovery, and UX.

GOAL

To transform chronic pain care and gain the trust of patients by understanding them on a deeper level

OUTCOME

Tested and successfully validated a care-forward business model by launching a new onboarding

51.6

million

people

in the US have chronic pain

and only

7,012 specialists

are trained to treat it

Despite the best intentions, Clearing’s initial product-forward approach wasn’t landing.

When I joined, the business was at an inflection point. Clearing’s mission was noble and ambitious: expand access to chronic pain care for millions. Patients would complete a digital medical intake in order to receive a custom prescription compound cream and personalized digital exercises. Below is the story of how we used design to pivot from a misaligned product to a solution that truly addressed the needs of chronic pain sufferers.

Judged, dismissed, abandoned

We kicked off the project with ethnographic research—interviewing 12 people with chronic pain from diverse background and stages in life. They shared experiences of being judged by doctors, being told they were imagining their pain, getting labeled drug-seekers, and ultimately feeling left to navigate a complex healthcare system on their own.

The pivotal point of this project for me was realizing that these participants weren’t only looking to fix their pain. They wanted to be understood. It became clear that our solution needed to go beyond physical relief—it had to address the emotional and psychological aspects of chronic pain as well.

All participants needed support, but the nature of it varied depending on how long they’d been dealing with chronic pain.

PAIN STARTS

Diagnosis

Detectives

1-5 years in pain

  • Felt isolated from loved ones + overwhelmed from searching
  • Desperate for a diagnosis
  • Needed answers from a doctor

Tenacious

Triers

6-10 years in pain

  • Felt frustrated by failed treatments + judged by doctors
  • Had some clarity into their pain
  • Needed support from a care team

PAIN CONTINUES UNRESOLVED

ACCEPTANCE

Multitasking

Managers

11+ years in pain

  • Felt deeply resentful of doctors
  • Lived their life keeping flare-ups under control
  • Needed structure + check-ins

User personas were created as a part of this research, each grouped by pain duration.

A care-forward companion

Participants were asked to design their ideal care system—basically if they had a magic wand, what would they want for themselves. We then used this to shift our business model. From there, Clearing hired relief coaches for ongoing support, doctors would provide comprehensive treatment plans, and patients would stay on track and complete tasks through an app.

Relief coach

answers questions, listens, coordinates care, support through flare-ups

Relief

dashboard

keeps patients on track with their treatment plan and offers digestible tasks

Documentation

keeps records in one place to give patients a full picture of their care

Treatments

prescribed by their doctor, offering a mix of physical and digital therapies

Symptom tracking

show effectiveness of care so patients and doctors can track progress

Conversational

Empathetic

Educational

Personalized

Promising personalized care

We had a week to figure out a direction for our new onboarding. We started by creating rapid Figma prototypes to user test but quickly realized participant impressions were skewed when they couldn’t input their own answers. This led us to team up with the engineering team to build a coded, fully functioning flow where participants could input real data and see real-time responses. When promising personalized care, they expected feedback that addressed their specific pain and life experiences.

20

user tests

170

chronic pain participants

15

iterations

Choose your path

After learning that there was no one-size-fits-all approach for such a complicated journey, we designed a flow that guided users down one of five distinct paths based on their selected goals. Each path would then dynamically adjust based on our persona’s complex needs and experiences.

Generic

Focused on a combination of treatments and support

feel long term relief

understand my pain

work with pain doctors

be heard and supported

access pain relief products

manage pain in my daily life

5,898

Relief Coach

Focused on emotional/general support

be heard and supported

manage pain in my daily life

1,856

RX

Focused on quick relief through prescriptions and products*

access pain relief products

538

Doctor

Focused on doctor-led care and educational moments

understand my pain

be heard and supported

1,378

Treatment

Focused on treatments offered with less focus on support

feel long term relief

access pain relief products

958

Number of users that went down each path post-launch

*RX path mimicked the old product-led offering as a baseline of the test

As someone who values the details, the toughest part of this project for me was stepping back from polishing the design before launch. With time constraints and no design system, we decided to deliver a functional solution to test with even if the visuals weren’t perfect. I learned a lot about trusting the process during this project.

Example screens from new onboarding

What I learned

Care-forward flows improved conversion over RX

The RX path (a replication of our original product-only flow) was selected the least and converted at the lowest rate, proving to the business that care-forward wasn’t just right; it was essential to providing impactful care to patients.

Personalized flows allowed for more targeted testing

Our bifurcated approach was a goldmine for targeted testing. It allowed us the tweak our messaging for each of the three distinct personas. We could now validate with data, what each group needed to see in order to convert. See examples of the targeted tests we ran, here.

Promising personalized care demanded synchronous doctor’s visits

Adding synchronous visits would have sent our subscription costs soaring and our existing $50/month model was already tough on most patients, who begged for insurance options.

Enter COVID-19, where new billing codes unexpectedly solved Clearing’s pricing challenges. Check out my Continuous Care project for more.

Curious for more?

I analyzed the inputs of 3,676 users who went through the funnel

I focused on two key variables: age range and pain duration. From there I was able to successfully segment our patients into the three personas within each path (Relief Coach, Generic, etc). This helped me understand which messaging resonated best with each persona which became the foundation for even deeper experimentation.

Generic path findings

Patients looking for a combination of treatments and support

be heard and supported

work with pain doctors

manage pain in my daily life

access pain relief products

understand my pain

feel long term relief

The results

Patients who selected 4 pain goals in the Generic Focus had a higher conversion rate (10%) compared to those who selected all pain goals (3%)

Our hypothesis

There were 3 different mindsets when starting onboarding:

  1. Those that knew both what they wanted and didn’t — Patients selecting 4 pain goals had a clear idea of what they were looking for in their care, and likely arrived with higher intent
  2. Those actively in pain while onboarding — Our research revealed that long-term chronic pain can cause a lack of focus and cognitive distortions, and often, people are searching for care when they are actively in pain.
  3. Those unsure about the type of care they needed — Those without a clear idea of their needs had lower intent and were more likely to drop off later in the process.

 

Next steps

Based on my analysis, we identified the “Tenacious Triers” within the flow by their age and pain duration. This group had the highest conversion rates within the Generic Focus (13%).

 

We knew that “Triers” were starting to understand their pain and what treatments have or haven’t worked, making them skeptical but motivated to find relief.

 

To better cater to them within the Generic Focus, we ran AB tests personalized to their needs. We surfaced information about how we could help their specific type of pain, provided details info about the care team, and reassured them that we evaluate past treatments to find new paths toward relief.

Relief Coach path findings

Patients primarily looking for emotional and general support

be heard and supported

manage pain in my daily life

The results

Prior to launch, we expected patients going through the Relief Coach Focus to be primarily interested in emotional support and less interested in physical products. While users were required to select “be heard and supported” to go down this flow, a lot of them also selected “access pain relief products” and “work with pain doctors”.

Our hypothesis

We hypothesized that the Relief Coach audience was actually searching for an integrated approach to pain care. They recognized the value of being heard and supported but also wanted additional services. This audience resembled our new care-forward service the most.

 

Next steps

From my analysis, we concluded that the users not converting in the Relief Coach Focus were likely our “Diagnosis Detectives”, while those going through the Relief Coach Focus, and converting, were also our “Tenacious Triers”.

 

By tailoring our approach, we were able to better cater our AB tests to the specific needs of each audience, improving overall user engagement and conversion rates.

  1. Generic Focus — We addressed the needs to “Diagnosis Detectives” that were dropping off in this focus, by providing more information and support around finding the root cause of their pain.
  2. Relief Coach Focus — We spoke directly to “Tenacious Triers” by emphasizing the integrated approach and the additional aspects of pain care they were looking for.