01
Frequent attempts, low pickups
Risk control filters and user tags lead to silent rings or dropped lines.
→
Reachable base drops, causing research survey failure.
AI User Research Agent
Make Every User Survey Capture Exact Insights
Designed for collecting user needs and preferences. Maximize survey reach × Boost response rate × Full compliance × Actionable insights
User Research · Live Call
4,280 Concurrenciesa
Hello Ms. Wang, this is XX Cosmetics. How was the serum you purchased last month? Do you have 1 minute to share your experience?
U
It was okay, but it felt a bit heavy.
a
Thank you! Do you prefer refreshing or nourishing formulas? We're developing new items and will share your feedback with our product team.
U
Refreshing. Nourishing ones feel sticky in summer.
Intent Score
92
Status
Needs Saved
CRM Status
✓ Synced with R&D
1 Day
Fast Outbound Launch
200+
Industry Templates
Flexible
Billing Method
30%+
Average Conversion Boost
Surveys go uncompleted and capture zero authentic customer needs
Static web forms collect zero details. Proactive, smart voice surveys engage customers and record true preferences.
PROBLEM
02
Hard communication, low cooperation
High guard against cold calls. Customers view voice surveys as spam.
→
Questionnaire recovery ratios drop to zero.
03
Stiff scripting, missing guidance
Generic scripts lacking clear explanations of research purpose or privacy rules.
→
Fails to interest users, yielding empty questionnaires.
04
Crude segmentations, heavy overheads
Calling all accounts with identical parameters regardless of historic weight.
→
Inefficient slots waste company resources and airtime.
05
Regulatory walls, risk build-ups
Strict policies on survey data collection and outbound call times.
→
Vulnerable to carrier bans and consumer complaints.
06
Unconverted results, disjointed loops
Survey results are logged but never structured or shared with product designers.
→
Research becomes a checklist, failing to guide product strategy.
6 Solutions to Master Conversational Insights
Bridge the gap between reach, script structure, risk controls, and automated receipt sync.
Smart Reach Surveying
Dynamic carrier trunks + scheduling algorithms
Boosts pick-up rates to expand valid reached customer pools.
Utility-Guided Surveying
Pitches with official brand name validation + utility alerts
Slashes user guard and encourages true, detailed answers.
Context-Aware Surveying
Pitches tailored to historic order details + personal support
Bypasses generic forms to discover raw customer needs.
Fine-Grained Segmentation
VIP groupings + order weight categorizations
Prioritizes key clients to optimize outbound slots.
Secure Surveying
GDPR/compliance scrubbing + phone encryption + masking
Prevents data leakage and carrier blocks.
Closed-Loop Actionable Surveying
Auto-transcription + task creation + WeChat link pushes
Ensures feedback triggers service improvements, lifting retention.
Cross-sector templates for sincere user surveys
Customized for retail, education, and services to transform feedback into product upgrades.
Retail
Retail Product Survey
Calls consumers regarding usage, satisfaction, and suggestions.
Guides to WeChat to claim repurchase gifts, raising retention.
Edu
Education Feedback Survey
Calls parents regarding study gains and class CSAT.
Pushes WeChat course optimization reports, boosting renewal.
Local
Local Store Needs Survey
Alerts past physical visitors of new menus, collections, and discounts.
Adds WeChat to push community-exclusive dining coupons.
Service
Service Quality Survey
Calls clients post-service to rating processes, quality, and needs.
Connects with WeChat support managers to clear issues.
E-com
E-Commerce User Survey
Calls buyers regarding order accuracy, box quality, and CSAT.
Pushes WeChat re-engagement vouchers to raise frequency.
B2B
B2B Needs Survey
Calls lapsed corporate accounts to introduce new package iterations.
Syncs WeChat with account managers and pushes B2B insights.
Four Pillars of User Research Agent
Harnessing semantic sentiment parsing, fluent empathetic dialogue, and data closed-loops.
Customer Says
"I like the new flavor, but it is a bit sweet. It would be great if there was a low-sugar version..."
AI Semantic Analysis
AI Understood ✓
Customer gives flavor feedback + suggests low-sugar version
Intent: Flavor Feedback + SuggestionsCustomer: 30 Days Post-purchaseStage: Product Research
Insight Intent Accuracy
93%¹
No Keywords Preset
✓
Fuzzy Expressions
Supported
¹ Based on 30,000 research calls test
Precise Need Decoding
Tags subtle reviews (complaints, praise, feature ideas) with LLM precision.
avavox
Intelligent Routing
Claude
DeepSeek
Qwen
Gemini
ChatGPT
豆包
Grok
● Real-time Routing
7 Models
Orchestration
Intelligent Routing
Milliseconds
Balanced
Natural & Precise
Seven-Model Dynamic Routing
Schedules Claude, DeepSeek, Qwen and top-tier LLMs for optimal dialog fluency.
Human-like Chat · 14:23
Latency 380msa
Hello Ms. Wang, this is XX Skincare. How was the essence you bought last month? Can you share your feedback in 1 minute?
客
It was fine, but felt a bit thick.
a
Thank you! Do you prefer refreshing or rich formulas? We are developing new products and will sync your needs with our R&D.Discovery
客
Refreshing, rich feels too heavy in summer.
a
Recorded your preference. We'll invite you to try our new sample when launched, thanks for your feedback ✓Sync to R&D
Response Latency
< 500ms
Multi-turn
Supported
Voice Cloning
30s
Warm & Caring Dialogue Flow
Sub-500ms latency, deep multi-turn support, and empathetic scripts. Clone friendly brand voices.
Digital Employee · Closed Loop
From Survey to Insights
80%+ Survey
Dials
50,000
Connects
30,000
Agreed
18,000
Completed
10,800
Insights
6,480
Self-optimizing via closed loop data
Feedback monetization Loop
5-stage care funnel. Syncs raw reviews with business databases, boosting average retention by +30%.
Set Up Your User Research Agent in 3 Mins
Sleek, zero-code workflow. Launch structured conversational user profiling and market research instantly.
01
You Said ▸ AI Assistant
Build a user research agent, warm, empathetic, listening sincerely...
Script generating28s
312 scripts generated✓ Auto-adapted
Describe Needs in Chat
Just chat to describe your business needs, and AI automatically writes precise scripts.
02
contacts.csv
3,420 contacts · verified
Schedule
09:00 — 18:00 · Workdays
Concurrency200 channels
✓ Setup complete · no IT needed
Import List & Set Schedule
Upload contacts and set call times without any IT intervention.
03
Campaign running
03:24:18Dials
12,840calls
Reach
12,840
Answer
9,650
Surveyed
1,247
Surveyed 1,247✓ Sync to CRM
Launch & Real-time Reports
Launch the task with one click and monitor live call data and intent analytics.