Game Film: AI-Powered Deep Research for Your Customer Data
We've been heads down building Game Film for the past few weeks, and I can't help but feel we're onto something special. This might actually be the longest we've stuck with an idea since our first AI learning journal concept (which tells you something).
Let me share where my head's at.
The Vision
Think about a football team coach taking game film and reviewing it to try and find ways to win. That's what we're building – but for customer interactions. A Deep Research agent that helps you extract insights from all your customer touch points without drowning in recordings or spending days analyzing data.
To be fair, there are existing solutions out there already. HeyMarvin and DoveTail are doing impressive work (HeyMarvin's recent rebrand of their "Auto Analysis" to a Deep Research tool shows we're not alone in seeing this opportunity). But we see a chance to radically simplify how teams get insights from their customer data.
Throwing Out Old Assumptions
When I was a PM at Microsoft, one of my colleagues had this mantra: "Think really hard about the question you want the data to answer. Data analysis is expensive – make it count."
Game Film flips this on its head. What if getting insights from your data was much easier? What if you could get detailed reports, graphs, and even video highlight reels generated instantly with just a prompt?
Three Real-World Use Cases we’re thinking through:
The Sales Leader - Imagine you're a sales leader brought in to improve the process. You have hypotheses, but you want evidence. Simply prompt: "Create a detailed report showing where we're excelling and where we need work in our sales process. Break down each rep's strengths for a coaching plan. Update weekly with changes and send to me over Slack." Done.
The Product Leader - You're leading product, trying to prioritize the roadmap based on customer feedback. Your CS and Support teams are pushing for features X, Y, and Z. Instead of relying on hearsay, ask Game Film: "Show me video segments of customers discussing these features, plus surface other critical needs we might be missing." Instant context and validation.
The CEO - Your churn numbers are concerning. Product says you're targeting wrong; Sales disagrees. Who's right? Prompt: "Analyze the last three months of customer data. Compare the evidence for both arguments. Are we seeing a shift in customer profiles? Are there gaps in our qualification process?" Get clarity backed by data.
What excites me most is how this fundamentally changes the game for combing through data to synthesize insights. No more choosing between gut feel and weeks of data analysis. No more partial pictures because analyzing all your customer data was too time-consuming.
We're making it possible to have conversations with your customer data. Ask questions, get insights, make better decisions. Simple as that.
We’re sticking with this idea because of the demand signals. I’m having conversations every day with real potential buyers and iterating off their feedback. To add to that, I've personally felt the pain we’re solving, which really motivates me to try and solve it.
…
What do you think? Have you faced similar challenges making data-informed decisions? I'd love to hear your thoughts and use cases.