Oct 17, 2022 · 37m · product-market-fit
How to Pivot to Product Market Fit | Mike Murchison, Founder of Ada ($1B+ Valuation) · PMF Show
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this episode of The Product Market Fit Show, Ada co-founder and CEO Mike Murchison details how pivoting from consumer app Volley to customer experience platform Ada transformed a scaling challenge into a $1B+ enterprise AI company through deep frontline research and disciplined customer discovery.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Pablo holds 16.3% of the talking time here. How this is scored →
Pablo as informed peer 3.3 Guest teaching 4.2 Guest disagreement 0.7 Pablo pushing back 1.1
speaking balance: gold is Pablo, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 21:52 Rejection of the MVP coding premise
Mike directly attacks conventional startup wisdom, arguing that measuring early progress by lines of code or building an MVP is fundamentally backwards.
Hardest push from Pablo ▶ 5:29 Host defends minimizing customer interactionsPablo challenges Mike's thesis by pointing out the standard economic logic that minimizing interactions is more profitable and fewer tickets often signal better product design.
Biggest teaching moment ▶ 23:15 Data on contact center inquiry repetition and agent attritionMike educates the audience with concrete metrics from the front lines, explaining that 30-80% of support requests are mundane and contact centers suffer 45% annual agent turnover.
Pablo holds their own ▶ 28:11 Host formulates the 'research mode' frameworkPablo demonstrates strong VC domain expertise by deconstructing common misinterpretations of the Lean Startup and framing Ada's pre-code agent work as a formal research phase.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Pablo as informed peer | Guest teaching | Guest disagreement | Pablo pushing back | Why |
|---|---|---|---|---|---|---|
| Volley Growth and Customer Support Scaling Challenges | 3 | 3 | 1 | 2 | Pablo asks clarifying questions about whether Volley was B2C or B2B and how customer support worked for non-paying users. Mike explains the breakdown in user intimacy as the company scaled, challenging the conventional support playbook. | |
| Re-evaluating Customer Experience as an Opportunity | 4 | 4 | 1 | 3 | Pablo pushes back gently with the conventional perspective that minimizing support contact drives profitability and indicates good product design. Mike reframes customer service through the lens of digital data extraction and rapid feedback loops. | |
| Hands-On Research as Frontline Support Agents | 2 | 5 | 0 | 1 | Pablo listens with curiosity as Mike details how he and his co-founder took full-time frontline support jobs at seven companies. Mike educates the host on the emotional difficulty and deep learning derived from manual customer support. | |
| Breaking the Pivot News to Investors | 3 | 4 | 0 | 1 | Pablo prompts Mike on navigating investor dynamics during a pivot. Mike shares a vivid narrative of reading a prepared concession speech to Boris Wurtz, illustrating true founder-friendly investor support. | |
| Commitment vs. Attachment in Entrepreneurship | 3 | 5 | 1 | 1 | Pablo asks about the psychological friction of giving up on a startup and whether Volley and Ada share underlying DNA. Mike introduces a nuanced framework distinguishing between founder commitment to a mission versus attachment to a solution. | |
| Key Insights and Building the Manual Prototype | 2 | 6 | 2 | 0 | Mike delivers an extensive breakdown of the three operational insights gained from manual agent work, explicitly rejecting the standard practice of immediately writing code for an MVP. | |
| Research Mode, Steve Blank, and Secret Software Testing | 6 | 4 | 1 | 2 | Pablo articulates his own thesis contrasting standard Lean Startup practices with an upfront 'research mode'. Mike enthusiastically validates this, citing Steve Blank and recounting how they stealthily automated their own support jobs. | |
| Early Customer Acquisition and Community At-Bats | 2 | 4 | 0 | 0 | Pablo asks how the manual software prototype was first packaged and sold commercially. Mike explains the importance of peer founder networks in Canada granting early sales at-bats to test messaging. | |
| Long-Term Vision and Episode Recap | 5 | 3 | 0 | 0 | Mike discusses the milestone of making his first dollar of SaaS revenue and holding a long-term horizon. Pablo synthesizes the entire interview into a coherent founder takeaway framework on pivots and deep research. |
Statements from this episode (9)
Murchison: Minimizing customer contact is an obsolete legacy from analog call centers
“The paradigm of talking to your customers less, you know, is really, really born of an era where, People really weren't making as many data informed decisions. And it might have been because a lot of this information wasn't digitized to begin with. If you're r…”
Murchison: Ada began as an internal tool before becoming a pivot
“Initially this was about a curiosity we had around, you know, solving a problem that we were experiencing as the leaders of Volley and not as a, you know, as a, oh, this is a pivot opportunity, or this is a new business venture. It was about solving our own op…”
Murchison: Discovery problems are validated when interview responses become predictable
“Picking up the phone call, you have a 10th phone call in a row, and people are saying, almost, you're using the exact same phrases when they're describing the problem, and they're reacting to it the same way. So I, you almost feel like an anthropologist. You j…”
Murchison: Ada co-founders worked support at seven companies simultaneously
“We were employed by seven different companies at one point, all at the same time. And we lived and breathed customer service for the better part of a year.”
Murchison: Excellent software requires mastering the underlying manual process
“All software is at a fundamental level, all software does is it replicates and scales some manual process that exists in the physical world. And our belief is the extent to which you can understand that manual process better than anyone else, or at least under…”
Murchison: Contact center agent turnover averages roughly 45% annually
“Attrition rates in contact centers Are on average about 45% annually, meaning that in the enterprise, about half of all customer service agents will leave their jobs every year.”
Murchison: Writing software is rarely the fastest way to learn
“Writing software is the fastest way to learn, but in my view, it actually rarely is. It can be, but it rare, it rarely is. So I think we've conflated progress. We've conflated like developing an MVP with progress or rapid progress. Those are two very, very dif…”
Ada founders secretly tested their own software while working as support agents
“The reason we knew Ada worked in the early days or was going to work is because we didn't get fired. You know, we ran this software and our managers, you know, they didn't care. Like they loved the fact that response times went down. They couldn't tell the dif…”