Build vs. Buy: Customer Facing Features (Roundtable Discussion)

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  • เผยแพร่เมื่อ 5 ก.ค. 2024
  • Making the right build vs. buy decision for your SaaS product is difficult, especially when it comes to customer-facing features. We sat down with leaders from embedded SaaS companies to discuss the considerations that teams need to consider through the process.
    Guests:
    Emilia Korczynska
    userpilot.com - Create seamless onboarding experiences for your users with a no-code interface and skyrocket user/feature adoption and retention.
    Nimrod Priell
    cord.com - Make your product multiplayer in real-time like Figma with a single line of javascript.
    Mieke Houbrechts
    cumul.io - Embed interactive analytics and dashboards in your app without engineering.
    Brian Yam
    useparagon.com - Ship native integrations for your customers in as little as 4 hours, without engineering.
    --
    Let us know what you think of the discussion below, and if you have questions you'd like us to cover on our next roundtable webinar!
    Timestamps:
    Introduction
    0:00 Video overview
    0:44 Meet the Panel
    2:56 Engineering founder stories
    Sentiment towards buying and the risks of building
    5:21 Why there's a general aversion to low-code tools
    11:09 Hidden costs and tradeoffs of building
    12:47 Added weight of customer-facing features
    14:55 Risks of a half-baked feature
    16:19 Pre-product market fit vs. established organizations
    18:07 The feeling of losing ownership and power
    20:01 Importance of white labeling and design control
    22:50 Parallels with the IC to manager transition
    23:46 Ownership = control
    Criteria for making a robust Build vs. Buy decision
    24:19 Criteria for evaluating decision
    24:44 What not to buy
    27:03 Capabilities that are impossible to build - like Twilio
    28:32 Build features that don't scale and remain static
    30:05 Urgency and timeline
    31:46 Understand your long term use cases
    33:24 Extensibility
    34:11 Costs of scaling
    36:00 Quality of service and longevity
    36:50 Do discovery
    38:45 Integrations with your tech stack
    39:48 Partnering with subject matter experts
    40:38 Buying expertise
    44:50 Sophisticated buyers
    45:43 Value of benchmarking data
    46:30 Outsized scalability benefits
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