连接与治理
接通你的系统、政策与知识，让 AI 在你的规则之内工作，而不是绕过它们。
/ Customer & Revenue /
Know what your customers actually think. Not what the survey says.
AI that analyses every customer interaction — support tickets, reviews, calls, surveys — to surface what's working, what isn't, and what customers need next.
The problem
VoC programmes sample too little to be meaningful
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VoC programmes that sample too little
Surveys reach 2–5% of customers. The other 95% express their opinions through interactions nobody is systematically analysing.
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Qualitative feedback with no structure
Customer comments, reviews and call transcripts contain valuable signal. Without AI to structure them, they're read selectively and acted on inconsistently.
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Insights that arrive after decisions are made
Monthly or quarterly customer reports inform strategy in arrears. By the time the insight is packaged, the product has already shipped.
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Themes without owners
Insight reports identify problems but no team is accountable for closing the loop with product, service or experience teams.
How it works
从信号到成果——治理内置
自动化与辅助
让工作流上线：分流、起草、解决或升级，全程带完整上下文与审计追溯。
度量与改进
跟踪运营 KPI、质量与风险——再和你的团队一起调优剧本。
流程序列会适配你的工具、渠道与风险态势。
Know what your customers actually think. Not what the survey says.
What's included
What you get when you run this with Thinkia
A governed layer across data, workflows, and handoffs—so teams ship safely and scale with metrics.
Omnichannel feedback ingestion
Analyses support tickets, call transcripts, reviews, NPS responses and social mentions in a single pipeline.
Sentiment and theme analysis
Identifies recurring themes, sentiment trends and emerging issues across the full customer voice.
Product and service signal extraction
Surfaces specific product feedback, feature requests and pain points with frequency and severity scoring.
Real-time insight alerts
Flags emerging issues as they develop, not at the next reporting cycle.
Segment-level analysis
Breaks down customer sentiment and themes by product, region, cohort or channel.
Insight-to-action workflow
Routes findings to the right team (product, support, CX) with priority and context.
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Results
What changes when this runs in production
Results vary by interaction volume, channel mix and existing VoC infrastructure.
20×
More interactions analysed vs. survey-based VoC programmes
Orientative — confirmed in discovery; depends on the starting point.
–80%
From weeks (quarterly report) to days or hours
Orientative — confirmed in discovery; depends on the starting point.
–35%
Faster from customer signal to product team action
Orientative — confirmed in discovery; depends on the starting point.
How we work
From fragmented feedback to decisions owners can act on
Unify signals
Unify signals
Week 1–2
Surveys, support, social, and sales notes are mapped to entities and journeys with privacy in mind.
Define questions
Define questions
Week 3–5
North-star metrics, segments, and governance for who sees what are agreed with CX and product.
Validate narratives
Validate narratives
Week 6–9
Insight packs are tested with stakeholders; we correct blind spots and definition drift.
Embed in rhythm
Embed in rhythm
Week 10+
Scheduled briefings, alerts, and exports fit your planning cycles—without another static dashboard.
Data silos and PII regimes drive integration work; we sequence by highest-value journeys first.
Go deeper
Customer data, insights, and deeper dives
Ideas, trends, and tools to stay ahead
Get started
Ready to scope this for your context?
We start with a focused session—no commitment—to map constraints and a sensible path.