Kaizan’s AI analyzes your client communications weekly to deliver a precise Client Satisfaction (CSAT) score.
Here’s exactly how we transform emails, calls, and chats with all client stakeholders into actionable insights about your business relationships.
Layer 1: Relationship Temperature (70% of score)
We classify the overall health of each client relationship based on the narrative in your communications:
| Band | Score Range | What We Detect |
| Promoter | 8.6–10 | “Exceeded all KPIs” • Case study requests • Budget increases without pushback |
| Advocate | 7.5–8.5 | Clear ROI evidence • Unsolicited referrals • “Love working with you” |
| Satisfied | 6.6–7.4 | KPIs on track • Professional tone • Routine renewal and next project discussions |
| Cautious | 5.6–6.5 | “Concerned about timeline” • ROI justification requests • Mixed feedback |
| At Risk | 4.0–5.5 | “Underperforming campaign” • “Let’s pause and reassess” • Budget scrutiny • Breakdown and misalignment in expectations |
| Critical | 0–3.9 | Contract termination mentions • Payment issues • Legal escalations |
Layer 2: Moment-by-Moment Analysis (30% of score)
Every business comment gets tagged and weighted by impact:
> 2× Weight — Campaign/project results, deliverable quality
> 1.5× Weight — Meeting deadlines, solving problems proactively
> 1.3× Weight — Budget efficiency, ROI discussions
> 1× Weight — Strategic advice, communication style

When clients mention specific business consequences, those comments get double weight in the adjustment calculation:
– “Pause the £200k media spend” → -0.4 instead of -0.2
– “Board approved additional budget” → +0.4 instead of +0.2
These high-stakes moments reveal true satisfaction better than routine feedback.
Signals That Push Scores Up:
Signals That Pull Scores Down:
1. Your Score (0.0–10.0)
Precise to one decimal place — a shift from 7.2 to 7.5 means something changed.
2. Evidence-Based Insights
3. Stakeholder Attribution
When possible, we identify who said what:
In B2B relationships, clients signal satisfaction through language long before formal reviews:
> Word Choice Evolution: “Your campaign” → “Our campaign” (ownership shift)
> Response Patterns: 2-hour replies → 2-day delays (engagement drop)
> Meeting Dynamics: “Let’s expand this” vs “Let’s stick to agenda”
> Stakeholder Behaviour: Adding seniors (escalation) vs. adding teams (expansion)
What Kaizan Promises
– Only Real Quotes: No interpolation or guessing
– Business Focus: Personal chat filtered out automatically
– Transparent Logic: Every score component traceable to actual communications
What We Don’t Do
– Analyze work quality directly (we analyze how clients talk about it)
– Make assumptions during quiet periods
– Include internal team communications
Your CSAT score is a leading indicator — it changes before contracts get renewed or cancelled.
A drop from 7.8 to 6.9 means you have time to course-correct. A jump from 7.1 to 8.3 signals opportunity to expand.
By analyzing what clients actually say (not what we think they mean), and then combined with quantitative engagement stats and risk phrase analysis, AI CSAT gives you the clearest possible view of relationship health — updated weekly, attributed accurately, and focused entirely on what drives your business forward.