Case Studies
Case Studies
Case Studies
IOT CASA
IOT CASA
Home Automation
Home Automation
Quick Win
Quick Win
By optimizing onboarding, clarifying flows, and simplifying device setup, we enabled true self-serve.
By optimizing onboarding, clarifying flows, and simplifying device setup, we enabled true self-serve.
By optimizing onboarding, clarifying flows, and simplifying device setup, we enabled true self-serve.
2x
2x
2x
Faster
onboarding
Faster
onboarding
Faster onboarding
80%
80%
80%
Less support Tickets
Less support Tickets
Less support Tickets
3k+
3k+
3k+
New Users Onboarded
New Users Onboarded
New Users Onboarded
Drug Detail
Drug Detail
Healthcare
Healthcare
Quick Win
Quick Win
Drug Detail moved from cluttered and confusing to clear and fast. With restructured layouts and accessible alerts, users gained confidence—leading to fewer drop-offs and stronger adoption across hospitals and pharmacy chains.
Drug Detail moved from cluttered and confusing to clear and fast. With restructured layouts and accessible alerts, users gained confidence—leading to fewer drop-offs and stronger adoption across hospitals and pharmacy chains.
Drug Detail moved from cluttered and confusing to clear and fast. With restructured layouts and accessible alerts, users gained confidence—leading to fewer drop-offs and stronger adoption across hospitals and pharmacy chains.
5%
5%
5%
Raise in Feature Adoption
Raise in Feature Adoption
Faster onboarding
15%
15%
15%
Raise in
Usability
Raise in
Usability
Raise in Usability
10k+
10k+
10k+
New Users Onboarded
New Users Onboarded
New Users Onboarded
Suvarna
Suvarna
Healthcare
Healthcare
Quick Win
Quick Win
Six healthcare tools went from inconsistent to streamlined. With fewer screens, automation, and smart filters, reporting time dropped by 60%—improving visibility, accountability, and client retention.
Six healthcare tools went from inconsistent to streamlined. With fewer screens, automation, and smart filters, reporting time dropped by 60%—improving visibility, accountability, and client retention.
Six healthcare tools went from inconsistent to streamlined. With fewer screens, automation, and smart filters, reporting time dropped by 60%—improving visibility, accountability, and client retention.
2x
2x
2x
Faster Onboarding
Faster Onboarding
Faster onboarding
40%
40%
40%
Less Support Tickets
Less Support Tickets
Raise in Usability
3k+
3k+
3k+
New Users Onboarded
New Users Onboarded
New Users Onboarded
SARVHR
SARVHR
Human Resources
Human Resources
Quick Win
Quick Win
HRETE once needed 12 support staff and 6 weeks for onboarding. With simplified workflows and clearer features, support needs dropped and onboarding now takes just 5 days—boosting adoption, accuracy, and sales speed.
HRETE once needed 12 support staff and 6 weeks for onboarding. With simplified workflows and clearer features, support needs dropped and onboarding now takes just 5 days—boosting adoption, accuracy, and sales speed.
HRETE once needed 12 support staff and 6 weeks for onboarding. With simplified workflows and clearer features, support needs dropped and onboarding now takes just 5 days—boosting adoption, accuracy, and sales speed.
40%
40%
40%
Reduced Onboarding Time
Reduced Onboarding Time
Faster onboarding
10%
10%
10%
Raise in Usability
Raise in Usability
Raise in Usability
48k+
48k+
48k+
Saved Per Client
Saved Per Client
Saved Per Client
Audree
Audree
Pharma
Pharma
Quick Win
Quick Win
Optimizing BRMS turned usability into global scale—growing from 2 plants to 102+ across 38+ countries. The redesign cut training time, sped up implementation, and boosted satisfaction, proving the ROI of UX at scale.
Optimizing BRMS turned usability into global scale—growing from 2 plants to 102+ across 38+ countries. The redesign cut training time, sped up implementation, and boosted satisfaction, proving the ROI of UX at scale.
12
12
12
Pharma
Software's
Pharma
Software's
Pharma
Software's
102
102
102
Pharmaceuticals
Plants
Pharmaceuticals
Plants
Pharmaceuticals
Plants
38+
38+
38+
Countries
Worldwide
Countries
Worldwide
Countries
Worldwide
Echo
Echo
AI/ML
AI/ML
Quick Win
Quick Win
ECHO’s cluttered dashboards and slow onboarding limited it’s growth. With role-based flows, simpler charts, and clearer navigation, onboarding dropped 50% and users self-serve—helping ECHO scale with less training.
ECHO’s cluttered dashboards and slow onboarding limited it’s growth. With role-based flows, simpler charts, and clearer navigation, onboarding dropped 50% and users self-serve—helping ECHO scale with less training.
40%
40%
40%
Reduced Onboarding Time
Reduced
Onboarding Time
Reduced Onboarding Time
20%
20%
20%
Raise in
Usability
Raise in
Usability
Raise in Usability
3x
3x
3x
Feature
Adoption
Feature
Adoption
Feature Adoption
Debbie-M
Debbie-M
Artificial Intelligence
Artificial Intelligence
Quick Win
Quick Win
Debbie-M simplified complex government budget information into clear, conversational flows. By organizing the data into intent-based dialogues, users could self-serve reducing support effort and improving understanding.
Debbie-M simplified complex government budget information into clear, conversational flows. By organizing the data into intent-based dialogues, users could self-serve reducing support effort and improving understanding.
40%
40%
40%
Reduced Onboarding Time
Reduced
Onboarding Time
Reduced Onboarding Time
20%
20%
20%
Raise in
Usability
Raise in
Usability
Raise in Usability
3x
3x
3x
Feature
Adoption
Feature
Adoption
Feature Adoption