
Most roadmaps are optimized for the last thing that worked
Connect with AnswerLab before your metrics validate assumptions your users have already outgrown.
Great Seeing You at Nivan 2026!
We hope you enjoyed our presentation, "Your Data Can't See The Future"

Presented by Ashley Craig, Managing Director, Research and Product Innovation
AI is reshaping human behavior faster than traditional product metrics can keep up. In this keynote, AnswerLab explored why optimization-era tools — dashboards, KPIs, and engagement metrics — are no longer enough for an invention moment defined by uncertainty, emerging behaviors, and rapidly shifting expectations.
Through stories from real-world product research and ethnographic fieldwork, the talk challenged organizations to rethink how they define success, build roadmaps, and invest in human understanding before assumptions harden into products, incentives, and culture.
Key Takeaways
- Why optimization metrics alone can’t guide invention
- How AI amplifies both product capabilities and flawed assumptions
- The hidden risks of building from dashboards instead of human behavior
- Why human-centered insight is now a strategic advantage
- How leading organizations are grounding AI roadmaps in real human need
Download the Presentation Deck
Get the full presentation deck, including examples and key insights from the session.
What we do
We partner with product and technology leaders to turn research-driven insight into actionable information. Our expertise includes:
Product & Experience Strategy
Translate insight into clear, buildable direction.
Exploratory & Generative Research
Identify unmet needs and emerging behaviors before they appear in metrics.
AI & Emerging Technology Research
Understand how new technologies reshape expectations, trust, and adoption.
Usability & Validation
Refine experiences to improve performance and reduce friction.

Continue the Conversation
Schedule a strategic conversation with AnswerLab to explore how deep human understanding can help shape your roadmap, uncover unmet needs, and define the right metrics before optimization locks in the wrong assumptions.
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