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    <title>Moat Blog — Intelligence from Conversations</title>
    <link>https://moat.works/blog/</link>
    <description>Strategic intelligence from call transcript analysis. Methodology, insights, and the journey of building Moat.</description>
    <language>en</language>
    <lastBuildDate>Mon, 20 Apr 2026 03:31:55 GMT</lastBuildDate>
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      <title>Fireflies vs Otter in 2026: A founder's honest comparison</title>
      <link>https://moat.works/blog/fireflies-vs-otter.html</link>
      <description>Most Fireflies vs Otter comparisons treat the two as interchangeable. They're not — and the real question isn't which one to pick, it's whether you need either.</description>
      <pubDate>Fri, 17 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://moat.works/blog/fireflies-vs-otter.html</guid>
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    <item>
      <title>Gong vs Chorus in 2026: A founder's honest comparison</title>
      <link>https://moat.works/blog/gong-vs-chorus.html</link>
      <description>Most Gong vs Chorus comparisons miss the real question: are either of these tools actually solving your problem, or are you buying a dashboard you'll never use?</description>
      <pubDate>Wed, 15 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://moat.works/blog/gong-vs-chorus.html</guid>
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    <item>
      <title>Case study: when the analysis was wrong — and what we built because of it</title>
      <link>https://moat.works/blog/case-study-wrong-lens.html</link>
      <description>We ran 176 calls from a professional services firm through our system. The report diagnosed dysfunction where there was none. It was our most important failure.</description>
      <pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://moat.works/blog/case-study-wrong-lens.html</guid>
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      <title>Case study: 2,270 calls from a startup accelerator — and 51% were noise</title>
      <link>https://moat.works/blog/case-study-startup-accelerator.html</link>
      <description>A startup accelerator sent us 2,270 call recordings from Zoho CRM. Before we could find patterns, we had to separate signal from noise. What remained changed how the founders think about their business.</description>
      <pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://moat.works/blog/case-study-startup-accelerator.html</guid>
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    <item>
      <title>Case study: 346 calls revealed a design agency was actually a therapy practice</title>
      <link>https://moat.works/blog/case-study-clean-design-co.html</link>
      <description>When we analyzed 346 client calls from Clean Design Co, the first line of the report stopped the founder mid-sentence. 53% of calls were generating zero revenue.</description>
      <pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://moat.works/blog/case-study-clean-design-co.html</guid>
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    <item>
      <title>Three things founders discover when they actually read their call data</title>
      <link>https://moat.works/blog/what-founders-discover.html</link>
      <description>In a recent engagement, the founders found insights in their own call data that nobody on their team had noticed — timing problems, segmentation gaps, and a competitive blind spot that should have been a red flag.</description>
      <pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://moat.works/blog/what-founders-discover.html</guid>
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    <item>
      <title>The report that surprised us most wasn't the CEO brief. It was the Voice of Customer.</title>
      <link>https://moat.works/blog/voice-of-customer-report.html</link>
      <description>When we built nine different reports from the same call data, the Voice of Customer report revealed something the strategic analysis completely missed: how customers actually talk about the problem.</description>
      <pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://moat.works/blog/voice-of-customer-report.html</guid>
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    <item>
      <title>This isn't AI magic. It's research methodology that finally became affordable.</title>
      <link>https://moat.works/blog/research-not-technology.html</link>
      <description>Cross-conversation analysis isn't a new invention. It's how research has been done for decades — field recordings, listening, coding, thesis development. AI just made it accessible beyond expensive consultancies.</description>
      <pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://moat.works/blog/research-not-technology.html</guid>
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    <item>
      <title>What is cross-conversation analysis?</title>
      <link>https://moat.works/blog/what-is-cross-conversation-analysis.html</link>
      <description>One call is an anecdote. Three hundred reveal the forest. Cross-conversation analysis is the practice of reading an entire call archive together to surface patterns invisible in any single conversation.</description>
      <pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate>
      <guid>https://moat.works/blog/what-is-cross-conversation-analysis.html</guid>
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    <item>
      <title>One call is an anecdote. Three hundred reveal the forest.</title>
      <link>https://moat.works/blog/one-call-is-an-anecdote.html</link>
      <description>Per-call analysis creates false confidence. Cross-conversation intelligence reveals what your business actually needs to hear.</description>
      <pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate>
      <guid>https://moat.works/blog/one-call-is-an-anecdote.html</guid>
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    <item>
      <title>72% of your call data is probably noise</title>
      <link>https://moat.works/blog/72-percent-noise.html</link>
      <description>Most companies record everything — voicemails, wrong numbers, 30-second scheduling calls. Before we analyze an archive, we separate signal from noise. Here's how to think about data quality.</description>
      <pubDate>Sun, 29 Mar 2026 00:00:00 GMT</pubDate>
      <guid>https://moat.works/blog/72-percent-noise.html</guid>
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    <item>
      <title>What your CEO needs vs what your sales manager needs from the same data</title>
      <link>https://moat.works/blog/ceo-vs-sales-manager.html</link>
      <description>Same three hundred calls, nine different lenses. Why multi-audience reporting from a single dataset is more valuable than any dashboard.</description>
      <pubDate>Sat, 28 Mar 2026 00:00:00 GMT</pubDate>
      <guid>https://moat.works/blog/ceo-vs-sales-manager.html</guid>
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