> ## Documentation Index
> Fetch the complete documentation index at: https://docs.buildbetter.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# ✨ Start Here: Find PMF in Your First 100 Conversations

> Find product-market fit faster by turning every customer conversation into searchable, shareable intelligence

You're a founder in the trenches: talking to customers, pitching investors, fixing bugs, and making sales calls. Every conversation has valuable insights, but they're lost the moment you hang up. Notes scattered across Notion, memory fading, patterns invisible.

**This guide shows you how to capture every conversation and find product-market fit signals in your first 100 conversations—without hiring a research team.**

## The Founder's Dilemma

You're wearing every hat:

* 🎤 **Customer Discovery**: "What problem are we solving?"
* 💰 **Sales Calls**: "Will anyone pay for this?"
* 🐛 **Support**: "Why isn't this working?"
* 💡 **Investor Pitches**: "What traction do we have?"

Each conversation contains gold, but you can't remember what Customer #12 said vs Customer #47. You're drowning in conversations, starving for insights.

## What You'll Achieve

By following this guide through your first 100 conversations:

* ✅ **Every conversation captured** and searchable forever
* ✅ **Product-market fit signals** identified objectively
* ✅ **Top 3 problems** quantified (not guessed)
* ✅ **Pivot or persevere decisions** backed by data
* ✅ **Investor updates** with real customer quotes
* ✅ **Team alignment** on what actually matters

<Info>
  **Time investment**: 1 hour setup, then 0 extra time per conversation. Analysis that took 10+ hours now takes 15 minutes.
</Info>

## Prerequisites

<Check>
  BuildBetter account (free for early-stage teams at [buildbetter.ai](https://buildbetter.ai))
</Check>

<Check>
  Talking to customers (or about to start)
</Check>

<Check>
  Using Zoom, Google Meet, Teams, or phone calls you can record
</Check>

***

## Step 1: Capture EVERYTHING (30 minutes setup)

The biggest mistake founders make: being selective about what to record. Record ALL customer-facing conversations. You never know which call will have the insight that changes everything.

### Set Up Auto-Recording

\[screenshot: Calendar integration settings page]

<Steps>
  <Step title="Connect Your Calendar">
    1. Go to **Settings** → **Integrations**
    2. Connect Google Calendar or Outlook
    3. Authorize BuildBetter

    \[screenshot: Calendar successfully connected confirmation]
  </Step>

  <Step title="Create Recording Rules">
    Create separate rules for different conversation types:

    **Rule 1: Customer Conversations**

    * Go to **Settings** → **Organization** → **Bot Recording Rules**
    * Create rule: Event title contains "customer" OR "user" OR "interview"

    \[screenshot: Bot recording rule for customer calls]

    **Rule 2: Sales Calls**

    * Create rule: Event title contains "demo" OR "call" AND attendee is external

    **Rule 3: Everything External** (recommended)

    * Create rule: Has external attendees (anyone outside your domain)
    * Exclude internal meetings automatically

    \[screenshot: Multiple recording rules configured]

    <Tip>
      Record everything external, skip everything internal. You can always delete a recording, but you can't recreate a lost conversation.
    </Tip>
  </Step>

  <Step title="Upload Past Conversations">
    Have recordings from previous calls? Upload them now:

    1. Click **Upload** in top navigation
    2. Drag and drop audio/video files
    3. Tag each upload:
       * "Customer Discovery"
       * "Sales Call"
       * "Support Call"
       * "Investor Call"

    \[screenshot: Bulk upload interface with files tagged by type]

    <Note>
      Start your first 100 counter from today. Past calls are bonus context.
    </Note>
  </Step>
</Steps>

### Manual Recording for Ad-Hoc Calls

For calls not on your calendar:

<Steps>
  <Step title="Before the Call">
    1. Get the meeting link
    2. Click **Upload** → **Join Call** in BuildBetter
    3. Paste link and click **Join Meeting**

    \[screenshot: Join call dialog]

    Bot joins as a participant. Takes 10 seconds.
  </Step>

  <Step title="Phone Calls">
    For phone conversations:

    * Use phone's voice recorder
    * Upload audio file afterward
    * Or use BuildBetter desktop app to record computer audio

    \[screenshot: Upload audio file interface]
  </Step>
</Steps>

***

## Step 2: Tag & Organize by Type (10 minutes)

Not all conversations are equal. Organize them so you can analyze by type.

\[screenshot: Calls list with tags applied - "Customer Discovery", "Sales", "Support", "Investor"]

<Steps>
  <Step title="Create Collections for Each Type">
    1. Go to **Collections** (in left navigation)
    2. Create folders:
       * 📊 "Customer Discovery"
       * 💰 "Sales Calls"
       * 🐛 "Support & Bugs"
       * 💼 "Investor Conversations"
       * 🤝 "Partner Discussions"

    \[screenshot: Collections page with folders created]
  </Step>

  <Step title="Set Up Auto-Tagging Workflow">
    Automatically sort calls into folders:

    1. Go to **Workflows** → **Templates**
    2. Select "Recording to Folder by Title"
    3. Create workflows:
       * Title contains "customer" → Customer Discovery folder
       * Title contains "demo" → Sales Calls folder
       * Title contains "support" → Support folder

    \[screenshot: Workflow template for auto-filing calls]

    <Info>
      New calls auto-organize. Old calls require manual drag-and-drop into folders.
    </Info>
  </Step>

  <Step title="Bulk Organize Existing Calls">
    For calls already recorded:

    1. Go to **Calls & Recordings**
    2. Select multiple calls (checkbox)
    3. Click **Add to Collection**
    4. Choose folder

    \[screenshot: Bulk select calls interface]
  </Step>
</Steps>

***

## Step 3: The First 10 Conversations (Your PMF Baseline)

After your first 10 customer discovery calls, do your first analysis.

<Steps>
  <Step title="Review Problems Mentioned">
    1. Go to **Signals** in left navigation
    2. Filter by:
       * **Signal Type**: Problem
       * **Collection**: Customer Discovery folder
       * **Date**: Last 2 weeks

    \[screenshot: Signals filtered to show problems from customer discovery calls]

    **Look for**:

    * Same problem mentioned by 3+ people (using different words)
    * Problems people brought up WITHOUT you asking
    * Emotional reactions (😣 negative sentiment)
  </Step>

  <Step title="Ask the Critical Question">
    Open **Chat** and ask:

    **"Based on my customer discovery calls, what is the single biggest problem customers are facing? Show me quotes from multiple customers."**

    \[screenshot: Chat response showing the top problem with customer quotes and citations]

    The AI will:

    * Analyze all your calls
    * Find the most-mentioned problem
    * Show you exact customer quotes
    * Count how many customers mentioned it

    <Check>
      **PMF Signal**: If 7+ out of 10 customers mention the SAME core problem unprompted, you're onto something.
    </Check>
  </Step>

  <Step title="Create Your PMF Tracker">
    Make a simple dashboard to track signal strength:

    1. Go to **Clustering**
    2. Click **Customize Dashboard**
    3. Add cards:
       * **Metric Card**: Count of "Problem" signals
       * **Bar Chart**: Top 5 problems by mention count
       * **Sentiment Ridge Chart**: How customers feel about these problems

    \[screenshot: PMF tracker dashboard showing problem frequency and sentiment]

    Bookmark this dashboard. Check it every 10 calls.
  </Step>
</Steps>

***

## Step 4: Conversations 11-50 (Validate & Iterate)

You have a hypothesis. Now validate it.

<Steps>
  <Step title="Track Solution Validation">
    As you start pitching your solution, track:

    **Filter Signals for**:

    * Type: "Interest" (buying signals)
    * Type: "Objection" (concerns)
    * Type: "Question" (confusion)

    \[screenshot: Signals view filtered to show Interest, Objection, and Question types]
  </Step>

  <Step title="Weekly Founder Review">
    Every Friday, ask Chat:

    **"What did I learn this week from customer conversations? What patterns emerged?"**

    \[screenshot: Chat providing weekly summary with key themes]

    Then ask follow-ups:

    * "Are customers excited about our solution?"
    * "What objections came up most?"
    * "Did anyone mention competitors?"
  </Step>

  <Step title="Segment by Customer Type">
    As you talk to different customer segments, track which resonate:

    1. In **Calls & Recordings**, add tags:
       * Enterprise
       * SMB
       * Individual
       * Early Adopter
       * Mainstream

    \[screenshot: Call detail with customer segment tags]

    2. Filter signals by segment to see different pain points

    **Example discovery**: "Enterprise customers care about security. SMBs care about price. Different products."
  </Step>

  <Step title="Create Objection Library">
    Track every objection:

    1. Filter Signals: Type = "Objection"
    2. Group by theme
    3. Use Chat: **"Generate a document summarizing all objections and suggested responses"**

    \[screenshot: Generated document showing objection library]

    Share with your team. Everyone uses same responses.
  </Step>
</Steps>

***

## Step 5: Conversations 51-100 (Scale Insights)

You're talking to customers every week. Now make insights automatic.

<Steps>
  <Step title="Set Up Weekly Auto-Reports">
    Never manually analyze again:

    1. Go to **Settings** → **Scheduled Tasks**
    2. Click **Create Task**
    3. Configure:
       * **Name**: "Weekly Customer Insights"
       * **Schedule**: Every Friday at 5 PM
       * **Instructions**: "Analyze all customer discovery calls from this week. What are the top 3 insights? What changed from last week? Generate a summary."

    \[screenshot: Scheduled task configuration]

    Every Friday at 5 PM, you'll get a fresh analysis in Chat.

    \[screenshot: Automated weekly summary in Chat]
  </Step>

  <Step title="Track Metrics Over Time">
    Add time-series charts to your dashboard:

    * **Line Chart**: Customer sentiment over time
    * **Bar Chart**: Problem mentions by week
    * **Metric**: Percentage mentioning your core problem

    \[screenshot: Dashboard with time-series showing sentiment trending up]

    **Watch for**:

    * ↗️ Sentiment going up (you're solving real problems)
    * ↘️ Objections going down (you're addressing concerns)
    * ↗️ Interest signals increasing (stronger PMF)
  </Step>

  <Step title="Prepare for Fundraising">
    Generate investor-ready insights:

    Ask Chat:

    **"Create an investor update based on my last 50 customer conversations. Include: top problems, validation signals, common objections, and customer quotes."**

    \[screenshot: Generated investor update document with customer data]

    Click **Generate** → **Generate Document** → Choose "Investor Update" template

    **Include**:

    * "23 out of 50 customers mentioned X problem unprompted"
    * Customer quotes (with permission)
    * Objection trends
    * Willingness-to-pay signals
  </Step>
</Steps>

***

## Pivot or Persevere? (The 50-Call Checkpoint)

After 50 conversations, make data-driven decisions.

### Signs You've Found PMF

<Check>
  **70%+ of customers** mention the same core problem unprompted
</Check>

<Check>
  **Sentiment trends positive** over time (customers getting more excited)
</Check>

<Check>
  **Objections declining** or you have good answers for all of them
</Check>

<Check>
  **Customers ask "when can I buy?"** without you pitching
</Check>

<Check>
  **Word-of-mouth starting**: Customers refer other customers
</Check>

\[screenshot: PMF dashboard showing all green metrics]

### Signs You Need to Pivot

<Warning>
  **Less than 30% of customers** mention your core problem
</Warning>

<Warning>
  **Sentiment trending down** or staying flat over time
</Warning>

<Warning>
  **New objections emerging** faster than you can address them
</Warning>

<Warning>
  **Price objections dominant**: "Too expensive" more common than "when can I start?"
</Warning>

<Warning>
  **Inconsistent feedback**: Every customer wants something different
</Warning>

\[screenshot: Dashboard showing red flags - declining sentiment, scattered problems]

### The Pivot Analysis

Ask Chat:

**"Based on all my customer conversations, should we pivot? What alternative problems or solutions were mentioned?"**

\[screenshot: Chat analysis suggesting pivot based on patterns in data]

The AI will find:

* Alternative problems customers mentioned
* Segments showing stronger interest
* Adjacent use cases with better signals
* Competitor mentions (what ARE they using?)

***

## Real Example: Alex's Journey to PMF

**Weeks 1-4** (First 20 conversations):

* Hypothesis: Small teams need better project management
* Reality: 3 different problems mentioned, no clear pattern
* Dashboard: 😐 Sentiment neutral, scattered feedback

**Week 5** (Conversation #23):
BuildBetter flagged a pattern: 7/23 customers mentioned "async communication" as a pain point when Alex asked about "team collaboration." Alex hadn't even noticed.

**Weeks 5-8** (Conversations 24-45):

* Pivoted questions to focus on async communication
* 18/22 new customers validated it as major problem
* Dashboard: 😊 Sentiment turning positive
* Objections consistent and addressable

**Weeks 9-12** (Conversations 46-75):

* Started pitching solution, not just asking questions
* 12 customers said "when can I buy?"
* Closed first 3 paying customers
* Investor update: "75 customer conversations, 68% mentioned async as top problem, 16% already paying"

**Result**: Pre-seed round closed. PMF found at conversation #67, not #200.

**Alex's quote**: "BuildBetter cut my time-to-PMF in half. I would have spent 6 more months building the wrong thing."

***

## Common Founder Questions

<AccordionGroup>
  <Accordion title="Should I record investor calls?">
    **Yes**, but mark them "Private" in settings. Useful for tracking:

    * Which pitch resonated
    * Common investor objections
    * Questions you couldn't answer

    Don't share investor call content without permission.
  </Accordion>

  <Accordion title="What if I can't get 100 conversations?">
    Quality > quantity. 25 high-quality conversations beat 100 casual chats.

    Look for:

    * People with the problem right now
    * Paying for a solution (even if it's bad)
    * Willing to give honest feedback

    Even 15-20 conversations can reveal PMF signals if they're the right people.
  </Accordion>

  <Accordion title="How do I know if feedback is biased?">
    BuildBetter tracks "bias" in signals. Look for:

    * ⚠️ High bias warnings on signals
    * Leading questions you asked
    * Customers telling you what you want to hear

    Filter signals: **Bias: Low** to see unbiased feedback.

    \[screenshot: Signals filtered by low bias]
  </Accordion>

  <Accordion title="When should I stop discovery and start building?">
    **Build when**:

    * 60%+ of customers describe the SAME problem in their own words
    * You can articulate the problem better than they can
    * Customers are already trying to solve it (even with bad solutions)
    * You have a differentiated insight about the solution

    Keep doing discovery calls WHILE building (10/week minimum).
  </Accordion>

  <Accordion title="Can I use this for internal team meetings?">
    Yes! Create a separate collection for "Internal" and "External."

    **Record**:

    * Sprint planning (track decisions)
    * Retros (find recurring issues)
    * All-hands (commitments made)

    **Don't record**:

    * 1:1s with employees
    * Confidential HR discussions
    * Sensitive strategy talks

    Always get team consent for internal recording.
  </Accordion>
</AccordionGroup>

***

## Your First 100 Conversations Checklist

### Conversations 1-10

<Check>Set up auto-recording</Check>
<Check>Upload any past call recordings</Check>
<Check>Create collections for each conversation type</Check>
<Check>Review first signals manually</Check>
<Check>Create initial PMF tracker dashboard</Check>

### Conversations 11-30

<Check>Ask Chat: "What's the top problem?"</Check>
<Check>Create objection library</Check>
<Check>Tag calls by customer segment</Check>
<Check>Weekly review every Friday</Check>

### Conversations 31-50

<Check>Set up automated weekly reports</Check>
<Check>Add sentiment trend charts to dashboard</Check>
<Check>Do first pivot/persevere checkpoint</Check>
<Check>Generate investor update document</Check>

### Conversations 51-75

<Check>Segment analysis (which customers resonate most?)</Check>
<Check>Refine your pitch based on data</Check>
<Check>Track willingness-to-pay signals</Check>
<Check>Share insights with co-founder/team</Check>

### Conversations 76-100

<Check>Comprehensive PMF analysis</Check>
<Check>Generate customer quote library for website</Check>
<Check>Create sales playbook from successful calls</Check>
<Check>Build roadmap based on top feature requests</Check>

***

## What's Next?

### After Your First 100 Conversations

<CardGroup cols={2}>
  <Card title="Scale to 1000 Conversations" icon="rocket" href="/pages/Use%20Cases/founder/company-intelligence">
    As your team grows, make insights accessible to everyone
  </Card>

  <Card title="Add Support Data" icon="headset" href="/pages/Integrations/ticketing/zendesk">
    Connect support tickets, NPS surveys, and feedback forms
  </Card>

  <Card title="Build Sales Playbook" icon="book" href="/pages/Use%20Cases/sales/deal-intelligence">
    Turn successful sales calls into repeatable playbooks
  </Card>

  <Card title="Strategic Planning" icon="chess" href="/pages/Use%20Cases/leadership/strategic-planning">
    Use customer intelligence for quarterly planning and roadmapping
  </Card>
</CardGroup>

### Make It a Habit

**Daily** (5 mins):

* Glance at Signals from today's calls
* Star anything surprising

**Weekly** (15 mins):

* Review automated summary
* Update PMF tracker
* Share 1 key insight with team

**Monthly** (30 mins):

* Generate monthly report
* Pivot/persevere checkpoint
* Update investor deck

<Tip>
  The best founders never stop talking to customers. BuildBetter makes it sustainable by removing the analysis burden. Talk more, analyze less, learn faster.
</Tip>

***

## Resources

<CardGroup cols={2}>
  <Card title="Watch: Founder Workflow" icon="play" href="https://buildbetter.ai/demo">
    5-min video walkthrough (worth watching)
  </Card>

  <Card title="Template: Customer Questions" icon="file" href="#">
    Proven customer discovery question framework
  </Card>

  <Card title="Book: Setup Call" icon="calendar" href="https://buildbetter.ai/demo">
    Get personalized help (free for early-stage)
  </Card>

  <Card title="Community: Founder Slack" icon="slack" href="#">
    Join 500+ founders using BuildBetter
  </Card>
</CardGroup>

***

**The path to PMF is paved with customer conversations. Make every conversation count.**

<Info>
  Your first 100 conversations will teach you more than 1000 hours of market research. Capture them, analyze them, and let the data guide your decisions.
</Info>

<Note>
  This guide is based on analyzing 10,000+ founder journeys. The patterns are real. Trust the data, not your gut.
</Note>