AI Voice AI SaaS Platform Customer Feedback

VoicePulse

Client
Codevally
Industry
SaaS / Customer Experience
Duration
3 months
Team count
2
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Overview

After-purchase feedback is broken. Typed surveys clear 5% response on a good day, NPS forms collect noise, and review sites surface only the angriest customers. Product teams ship blind, fix the wrong things, and learn about real friction weeks too late.


Codevally built VoicePulse — an AI voice feedback platform that replaces forms with natural phone-quality interviews. A teammate picks a customer, picks a product, and clicks once. The customer taps a secured one-time link, allows their mic, and talks for two minutes. No app install, no star ratings, no drop-off.


The Solution delivers conversational customer feedback at scale by providing:

  • AI Voice Interviews: Real-time spoken conversations powered by AI — customers feel heard, not surveyed, lifting response rates well above typed forms.
  • Automated Scoring and Sentiment: Every answer is rated 0-10, classified by sentiment and intent, and indexed against the question that produced it.
  • Smart Summaries with Instant Alerts: A 3-5 sentence digest is written per call and emailed to the assigned employee the second the customer hangs up.
  • Multi-Tenant Workspaces: Onboard unlimited companies with strict data isolation, per-product question sets, and branching conditional logic.
  • Production-Grade Architecture: Token-based public links, idempotent webhooks, rate-limit guards, and a dashboard surfacing funnel, completion, and best/worst product performers.

VoicePulse turns the silent gap between purchase and review into a live feedback channel. Product teams stop guessing from tickets and review sites and start acting on real customer voices — fixing friction before it becomes a refund, a one-star rating, or a churned account.

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Turning post-purchase silence into structured AI-driven product insight.

01. Discovery and Voice Flow Design

Mapped post-purchase moments, scripted natural conversational flows, defined branching question sets per product, and set scoring rubrics for sentiment and intent.

02. Voice Engineering

Built the real-time AI voice agent with browser-based mic capture, token-secured one-time links, and per-tenant question routing. No app install for customers.

03. Scoring and Summarisation

Engineered the AI scoring pipeline that rates every answer 0-10, classifies sentiment, extracts per-question insights, and writes a 3-5 sentence digest per call.

04. Multi-Tenant Platform and Alerts

Delivered tenant isolation, role-based admin, instant formatted email alerts on completion, and a dashboard for funnel, completion, and product breakdown.

05. Launch and Scale

Hardened auth, idempotent webhooks, rate-limit guards, and onboarding flows. Shipped a live preview so new tenants see the dashboard fill on their first real interview.
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