Product Talk Daily: Who should conduct interviews?
My answer might surprise you.
A Short Video
Who should conduct interviews?
Learn more about customer interviews.
A Longer Read from Product Talk
Ask the Community: What’s a Mistake You Made Early in Your Continuous Discovery Journey?
"The fact that it's easy to make mistakes is not an excuse for avoiding discovery. It's just helpful to know what to expect so you don't have to be too hard on yourself when something goes wrong."
Discover common pitfalls in implementing continuous discovery and how to overcome them! 🎯
This article explores three product managers' experiences:
📢 Leann: Challenges in communicating discovery results
🤝 Sebastian: Navigating stakeholder concerns when starting interviews
🏃♀️ Jelena: Attempting to implement all discovery practices at once
Key insights:
💬 Communicating discovery results is as crucial as the discovery itself
🧠 Take stakeholders' concerns seriously, but don't be afraid to challenge assumptions
🌱 Start small and focus on core practices like interviewing before expanding
🤲 Build trust gradually when introducing new discovery practices
🎯 Consider continuous discovery skills when hiring new team members
Did any of these challenges resonate with you? Check out the full article: Common Discovery Mistakes (And How to Avoid Them)
❓What challenges have you faced in implementing continuous discovery practices, and how did you overcome them? Share your experiences in the comments below.
A Worthy Read from Around the Web
15 Times to use AI, and 5 Not to
"AI is often most useful where we're already expert enough to spot its mistakes, yet least helpful in the deep work that made us experts in the first place." 💭
Want to use AI effectively in your work? This article breaks down where AI shines and where you should think twice before using it.
Here's where AI can be particularly valuable:
🚀 Quantity-driven tasks like brainstorming hundreds of ideas
💡 Work where you have the expertise to evaluate AI outputs
📚 Summarizing large amounts of information (when accuracy isn't critical)
🔄 Translating content for different audiences
🏃♂️ Getting unstuck and maintaining momentum
But be cautious when:
⚠️ Learning new concepts (do the work yourself)
📊 High accuracy is essential
❌ You don't understand AI's failure modes
💪 The struggle is part of the learning process
Read the article: 15 Times to use AI, and 5 Not to
💭 What tasks do you currently use AI for in your work? Share your thoughts in the comments below.
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