Feature design at Torch
A 360° reinvention
Torch’s 360 assessment—used by tens of thousands—is the diagnostic backbone of its platform, built to assess leadership effectiveness and guide a person in coaching. But when the company refreshed its leadership model, the legacy assessment no longer fit. What once delivered clarity now caused confusion, eroding trust and falling short of the insights users needed.
Problem space
Confusing measurement model
The legacy 5-point scale lacked clarity. Respondents were asked to rate colleagues relative to others, often encountering redundant or irrelevant items leading to confusion, fatigue, and reduced trust in the results.
Time-consuming survey workflow
Participants and raters faced a long, cumbersome process—over 40 questions—which led to 22% survey abandonment and critical gaps in feedback.
Unclear, unactionable results
Reports were dense and required heavy interpretation. Coaches often needed up to three sessions to make sense of the data, and customers rarely acted on aggregate insights due to lack of clarity.
Team
I worked on this initiative at Torch Mar–Jun 2025 with
Solution
A full-system redesign, from measurement to meaning
High-signal measurement model
I replaced the prior 5-point scale with a simpler, behavior-based rating system. It reduced decision fatigue, removed false precision, and aligned with how people naturally observe leadership.
Simplified, personalized survey enhanced with AI
The redesigned experience tailored questions by user type, capturing better feedback in just 4–6 questions. AI prompts nudged users to share more thoughtful, relevant input.
Insightful, intuitive results
The report experience was restructured around user priorities, reducing overwhelm and surfacing what mattered most. Insights became clearer and more actionable.
My approach
In-depth evaluation of diagnostic design
I evaluated a range of measurement models, balancing insight clarity with respondent effort. The redesigned approach prioritized surfacing useful, actionable insights, avoiding unnecessary data collection, and serving the needs of clients, coaches, and customers
Evaluating various data and interaction formats for measurement
Insight prioritization with customers and coaches
I conducted research with key customers to understand what insights mattered most, both qualitative and quantitative. I also interviewed coaches to uncover what made results easier to interpret and more impactful in their client work.
Smarter UX to improve feedback quality
Weak qualitative responses reflected a feedback loop issue: users lacked guidance on how to provide meaningful input. I introduced interaction design patterns, including context cues and prompt scaffolding, to elicit clearer, more thoughtful feedback with less effort.
Exploring interaction design possibilities to help users give better feedback
Impact
The redesign brought Torch’s core diagnostic into alignment with its updated competency model, creating coherence across the product, coaching experience, and go-to-market messaging.
Streamlined user experience and stronger outcomes
With clearer insights and shorter surveys, clients and coaches could more easily identify growth opportunities and take focused action. Aggregated results also gave customer admins sharper visibility into where to invest L&D efforts.
Modernized code
The rebuild leveraged the company’s design system and replaced legacy code, improving consistency, maintainability, and overall UX quality across the platform.
Challenges and lessons
Balancing effort and insight
The core design tension was clear: reduce survey effort without losing insight depth. These needs often seemed at odds, but I resolved them by designing backward from user trust and clarity, delivering a framework that was both efficient and precise.
Driving alignment on a strategic redesign
This redesign reimagined how customers and users measured leadership effectiveness, touching a vital part of the product’s value chain. I led discovery with rigorous research, surfaced key tradeoffs, and unified cross-functional partners through evidence-based decisions.
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Feature design at Torch