The best GenAI solutions don’t start with the technology. They start with a clear understanding of customer needs, friction points, and the moments where better experiences can create real value.
Mind the Gap!
Too many GenAI efforts start with what the technology can do instead of what customers actually need. That’s how teams build impressive demos, while the moments that matter most go untouched.
- How well do we understand the problems our customers are lookking to sole with GenAI?
- Are we clear on the barriers to adoption we need to overcome?
- Do we know which GenAI solutions our customers will pay a premium for?
Our Solution — Turn Customer Understanding Into Stronger GenAI Priorities
This accelerator helps leaders identify the customer problems, pain points, and moments that matter most—so GenAI investments are prioritized around real demand, stronger fit, and more measurable business value.
- Identify key stakeholders
- Explore what “good” looks like
- Interactive Q&A
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Plan
- Identify key stakeholders
- Explore what “good” looks like
- Interactive Q&A
- Identify key stakeholders
- Explore what “good” looks like
- What does it look like when the bullet point is two lines long
- Identify key stakeholders
- Explore what “good” looks like
- Interactive Q&A
- Identify key stakeholders
- Explore what “good” looks like
- Interactive Q&A
- Identify key stakeholders
- Explore what “good” looks like
- What does it look like when the bullet point is two lines long
- bullet point one
- bullet point two
- bullet point three is going to be longer
Outcomes you can expect
See which customer needs, pain points, and journey moments matter most for GenAI.
Align leaders around the customer problems and opportunities most worth prioritizing.
Reduce noise by concentrating GenAI effort on the use cases customers will value most.
Build a stronger customer understanding foundation for more relevant GenAI solutions.
Improve the odds that GenAI investments translate into adoption, trust, and business value.
Frequently Asked Questions
- What does customer understanding readiness mean for GenAI?
It means understanding your priority customers, their workflows, needs, pain points, and decision context well enough to guide GenAI priorities with confidence. - Why is customer understanding so important before scaling GenAI?
Because GenAI creates the most value when it solves real customer problems. Weak customer understanding leads teams to prioritize the wrong use cases and experiences. - How is customer understanding readiness different from general market research?
Readiness focuses on whether your current customer insight is strong enough to guide specific GenAI decisions, investments, and roadmap priorities.
- What are the most common customer understanding gaps that limit GenAI success?
Common gaps include shallow segment understanding, incomplete workflow insight, weak pain-point evidence, outdated assumptions, and poor alignment between insight and roadmap decisions. - How do we know whether our customer understanding is strong enough for GenAI?
Assess whether your current insight is specific, current, evidence-based, and actionable enough to shape use-case selection, experience design, and adoption strategy. - Where do weak customer insights usually show up first?
They often show up in low use-case relevance, unclear value propositions, weak adoption, poor prioritization, and difficulty proving business impact.
- How does customer understanding affect GenAI prioritization?
It helps teams focus on the customer problems, workflows, and moments where GenAI can create the most meaningful value. - Should we pause roadmap decisions until customer understanding is perfect?
No. The goal is not perfect insight. It is enough clarity to make better decisions now while strengthening the foundation over time. - How do we decide which customer understanding gaps to close first?
Start with the gaps that most directly affect your highest-priority GenAI use cases, strategic bets, and adoption goals.
- Which teams should be involved in customer understanding readiness?
Product, strategy, marketing, sales, service, research, and executive stakeholders should align on where insight is strong, where it is weak, and what matters most. - Who should own customer understanding improvement over time?
Ownership should be shared, with clear accountability for insight quality, decision use, and cross-functional coordination. - How does this accelerator support broader GenAI strategy work?
It strengthens the customer evidence behind prioritization, roadmap decisions, adoption planning, and value creation across your GenAI portfolio.
- What should we measure after assessing customer understanding readiness?
Measure whether priority gaps are closing, whether customer insight is becoming more actionable, and whether GenAI priorities are becoming more relevant and focused. - How quickly can teams improve customer understanding readiness?
Most teams can identify major gaps, align on priorities, and begin targeted improvements within the first 90 days. - How often should we revisit customer understanding readiness?
Revisit it whenever your strategy shifts, customer needs change, or new evidence suggests your GenAI priorities should be re-evaluated.