Professional Services

Chatbot analytics that actually tells you something

Most teams look at chatbot dashboards and see numbers without context. Our group programs are built around 6–8 practitioners working through real monitoring scenarios together, with structured facilitation across 4-week cycles.

Available programs

Each program runs with a fixed cohort — no open enrollment mid-cycle — so group dynamics stay intact and peer learning compounds over time.

Chatbot analytics group session in progress

Chatbot Analytics: Reading What Your Bot Is Actually Telling You

Analytics Product teams and bot managers

Chatbot Analytics: Reading What Your Bot Is Actually Telling You

A practical service for teams who suspect their chatbot data contains useful information but have no idea where to start looking.

Duration 10 business days

Read time 6 min

Published 2025/10

18500 UAH Fixed project fee. Includes audit, analysis, and one presentation session. No ongoing retainer required.

3 seats remaining

View details 6 min read

Monitoring Engineering and product teams with live chatbot deployments

Continuous Performance Monitoring for Chatbots That Are Already Live

Setting up monitoring that actually catches problems before users start complaining about them in support tickets.

Duration 14 business days

Read time 7 min

Published 2025/12

24000 UAH One-time setup fee. Includes design, implementation, testing, and handover documentation. Infrastructure costs (if any) are separate.

2 seats remaining

View details 7 min read

What groups track together

Chatbot performance isn't a single number — it's a cluster of signals that only make sense when you compare them across conversation types, time windows, and user segments. Groups in our programs work with 12 distinct metric categories over 4 weeks.

Each cohort builds a shared monitoring framework by week 3, tested against real data from participants' own deployments — not synthetic datasets.

Intent resolution accuracy 87%

Fallback rate reduction 64%

Session completion depth 78%

Escalation pattern detection 91%

How a cohort cycle runs

Diagnostic session

Week 1 opens with every participant mapping their current chatbot stack — platform, data access, and the 3 metrics they already watch. This baseline takes 90 minutes and shapes the rest of the program.

Group analysis labs

Weeks 2 and 3 run as structured labs — 8 participants split into pairs, each pair analyzing a different failure mode category. Findings are presented back to the full group for cross-pollination.

Framework handoff

Week 4 delivers a documented monitoring framework — built collectively by the cohort — that each participant takes back to their own team. It covers 12 metric categories with decision thresholds specific to their deployment context.

Questions before you commit

Cohort sizes are capped at 8 participants, so we do a brief intake call before confirming your spot. It takes about 20 minutes and helps us match you to the right program cycle.

Send a message and someone from the facilitation team will reply within 1 business day. We work across time zones — no scheduling friction.