The customer brainfor your company

Poth Company Brain
The customer brainfor your company
Poth unifies conversations, feedback, and customer data to help your team find patterns and understand customers.
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Sol - Composio

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Illume - Inkle

- Sol
Sol - Composio

- UnCircuit
UnCircuit - Illume
Illume - Inkle

- Sol
Sol - Composio

- UnCircuit
UnCircuit - Illume
Illume - Inkle

- Sol
Sol - Composio

- UnCircuit
UnCircuit - Illume
Illume - Inkle

- Sol
Sol - Composio

- UnCircuit
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Illume
The problem
Customer feedback lives everywhere.Nobody has the full picture.
Teams have feedback scattered across Fireflies, support, CRM, Slack, surveys, docs, and more. Poth turns that mess into a searchable customer brain, giving product, growth, and leadership a clear view of what customers are experiencing without having to dig through five different tools.
🎙️
Fireflies calls
💬
Slack threads
🎟️
Support tickets
📋
CRM notes
📊
Surveys / NPS
💭
In-app chat
📄
Docs / Confluence
📈
Product analytics
Pattern extraction
Turn scattered feedback intoprioritized insights
🎙️Fireflies calls💬Slack threads🎟️Support tickets📋CRM notes📊Surveys / NPS💭In-app chat📄Docs / Confluence📈Product analytics
🎙️Fireflies calls💬Slack threads🎟️Support tickets📋CRM notes📊Surveys / NPS💭In-app chat📄Docs / Confluence📈Product analytics
Prioritized insights
live · updating
InsightEvidenceSegmentAction
Onboarding friction847 mentionsSMB < 50 seatsDay-3 activation nudge
Missing CRM integration312 ticketsEnterprise RevOpsAccelerate connector build
Perceived ROI gap156 surveysMid-marketSuccess metrics rollout
Thematic analysis
Change the cohorted dashboard to havethe thematic analysis you need
Ask a question → Poth searches all customer data → returns prioritized insights with evidence and recommended actions.
Root cause analysis
Go from “what are customers saying?”to “why is it happening?”
Poth compares feedback against product, operational, and behavioral data to investigate root causes, not just summarize complaints.
Hypothesis engine
4 live hypotheses
1. H1 General cleanliness rejected18% confidence · morning cleaning completed 2. H2 Missed cleaning rounds rejected8% confidence · morning cleaning completed 3. H3 Supplies depleted by Thursday validated92% confidence · soap + bags near zero by Thursday 4. H4 Cadence mismatch validated88% confidence · supplier arrives Monday only
informs
Targeted follow-up
questions generated to test each hypothesis
1. Tests H1interviewanswered When you say dirty, what specifically did you notice? 2. Tests H2interviewanswered What time did you visit on Thursday? 3. Tests H3interviewvalidated What specifically was empty or overflowing? 4. Tests H4interviewvalidated Have you noticed this issue before, or was this a one-time occurrence?
Hypothesis engine → targeted follow-up
Each question is generated to test one specific explanation.
1. H1 General cleanliness rejected18% confidence · morning cleaning completed generates Tests H1interviewanswered When you say dirty, what specifically did you notice? 2. H2 Missed cleaning rounds rejected8% confidence · morning cleaning completed generates Tests H2interviewanswered What time did you visit on Thursday? 3. H3 Supplies depleted by Thursday validated92% confidence · soap + bags near zero by Thursday generates Tests H3interviewvalidated What specifically was empty or overflowing? 4. H4 Cadence mismatch validated88% confidence · supplier arrives Monday only generates Tests H4interviewvalidated Have you noticed this issue before, or was this a one-time occurrence?
Gap identification
When existing data is not enough,ask better questions
Poth creates targeted surveys and customer follow-ups to validate the missing piece, closing the loop between hypothesis and evidence.
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Tell us where feedback is getting stuck. We'll show you how Poth Labs can attack the root cause.
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