The customer brainfor your company

pothlabs.com · 2026-07-31 · by Long Nguyen ·generic
Poth connects your customer calls, feedback, support tickets, surveys, and transcripts so your team can ask questions, find patterns, and instantly understand what customers are saying.

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.

Book a demo

Backed byY Combinator

Trusted by teams at

  • InkleInkle
  • SolSol
  • ComposioComposio
  • UnCircuitUnCircuit
  • IllumeIllume
  • InkleInkle
  • SolSol
  • ComposioComposio
  • UnCircuitUnCircuit
  • IllumeIllume
  • InkleInkle
  • SolSol
  • ComposioComposio
  • UnCircuitUnCircuit
  • IllumeIllume
  • InkleInkle
  • SolSol
  • ComposioComposio
  • UnCircuitUnCircuit
  • IllumeIllume
  • InkleInkle
  • SolSol
  • ComposioComposio
  • UnCircuitUnCircuit
  • IllumeIllume
  • InkleInkle
  • SolSol
  • ComposioComposio
  • UnCircuitUnCircuit
  • IllumeIllume
  • InkleInkle
  • SolSol
  • ComposioComposio
  • UnCircuitUnCircuit
  • IllumeIllume
  • InkleInkle
  • SolSol
  • ComposioComposio
  • UnCircuitUnCircuit
  • IllumeIllume

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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