Overview
Traditional CSAT is broken by design.
Front is a customer operations platform used by support teams across email, chat, SMS, and WhatsApp. CSAT is central to how these teams measure performance, coach agents, and demonstrate ROI to leadership.
But traditional surveys only reach 5–15% of conversations. Decisions about team quality, agent performance, and customer experience end up based on a small and heavily biased sample, typically skewed toward the most frustrated or most satisfied customers.
Traditional CSAT
5–15% response rate. Biased sample. Delayed insights. 100 conversations produce ~10 data points.
Smart CSAT
AI infers satisfaction from tone, resolution signals, and message flow, scoring every single conversation automatically.
What if we could measure satisfaction across every conversation?
My Role
Full ownership, from framing to launch.
- Led end-to-end design from early opportunity framing with PMs through final launch.
- Designed the inbox experience where AI-inferred and customer-submitted CSAT coexisted naturally in the conversation flow.
- Built the analytics and reporting layer, helping teams understand score composition, confidence levels, and the relationship between AI-inferred and survey-based signals.
- Explored Smart and Surveyed CSAT as complementary signals: one more emotional and immediate, the other more scalable as AI calibration matures.
- Designed the admin activation flow and self-serve billing experience, including contextual upsell moments.
- Partnered with Product, Engineering, Data & Analytics, Billing, and Marketing throughout.
Decisions
The choices that shaped the product.
Complement, don't replace traditional CSAT
Smart CSAT fills the gaps traditional surveys can't reach, it wasn't designed to replace them, but to complement them. Since survey CSAT was already deeply embedded into many teams' workflows, reporting, and operational processes, the challenge was designing both systems to coexist naturally while giving teams broader and more reliable coverage across customer conversations.
Visual clarity between score types
A Surveyed score and a Smart score look similar but mean different things. Clear visual differentiation, badges, icons, labels, filter states, had to be applied consistently across inbox and analytics.
Contextual monetization over interruptive gates
Smart CSAT is a paid add-on. Upsell moments were surfaced where the gap in data was already visible to the admin, making the value proposition self-evident rather than forced.
Adoption through familiarity
Smart CSAT was designed to fit naturally into workflows teams already trusted instead of introducing an entirely new operational model. By embedding activation and upgrade moments directly into existing tools and patterns, adoption felt incremental, familiar, and easy to scale over time.
Final Design
The complete experience.
Satisfaction signals in context.
Agents and managers see both the customer-submitted score and the AI-inferred Smart CSAT right where the conversation happened, clearly labeled, with no context-switching required.
A complete operational view of customer satisfaction.
Support leaders could analyze Surveyed, Smart, and Overall CSAT side by side across teams, channels, and timeframes. Clear differentiation between score types preserved trust and interpretability at every level of the reporting experience.
One rule to activate. One flow to pay.
Admins discover Smart CSAT where the gap is already obvious. A single automation rule enables it. A direct billing flow completes the upgrade. No sales handoff, fully self-serve.
Smart CSAT as part of Front AI.
Smart CSAT shipped as part of Front's broader AI launch. This is how it all came together.