User-Centric & Traditional KPIs - Why teams need both.
- Daniel White

- Oct 7
- 3 min read
Updated: Oct 8
For many product and engineering organizations, the last 15 years have been shaped by a delivery-first mindset. Success was often measured by hitting deadlines, shipping features, and keeping systems stable. While these are essential foundations, they don’t necessarily guarantee that the right problems are being solved — or that customers are receiving meaningful value.
When leaders attempt to shift such teams toward product discovery practices and user-centric KPIs, the change can feel like rewiring the DNA of the organization. Below are some of the most common challenges teams face — and why they matter.
1. Cultural Inertia: "We’ve Always Done It This Way"
Fifteen years of focusing on delivery leaves deep grooves in organizational habits. Engineers are accustomed to receiving requirements, while product managers may see themselves as backlog owners rather than problem-solvers. Introducing discovery requires reframing roles: from order-takers to collaborators who explore ambiguity together. That shift can spark resistance, especially if people feel their expertise is being undermined.
2. Discomfort with Ambiguity
Discovery is messy by design. It involves testing assumptions, running experiments, and sometimes discarding months of work in favor of a better path. Teams long trained to equate progress with shipping code can see this ambiguity as wasteful or chaotic. They need to learn that learning itself is progress — and that failure in discovery prevents much costlier failures in delivery.
3. Misalignment of Incentives and Metrics
Traditional KPIs often reward output: number of features shipped, velocity, or uptime. User-centric KPIs — like retention, activation, or customer satisfaction — shift the focus to outcomes. This can feel threatening. Suddenly, a team’s "success" isn’t just about what they built, but whether users found value in it. Aligning performance reviews, incentives, and recognition to these new measures is critical but politically sensitive.
4. Lack of Skills and Tools for Discovery
Discovery requires new skills — user interviewing, hypothesis framing, data literacy, experiment design. Many long-standing product or engineering professionals simply haven’t had the chance to practice these. Without training, support, and coaching, "discovery" risks becoming a buzzword rather than a discipline.
5. Leadership Expectations and Patience
Leaders who want discovery-driven, user-centric teams must recognize that change doesn’t happen overnight. If leadership continues to demand fixed timelines, rigid roadmaps, and rapid delivery, discovery will wither. Patience, sponsorship, and consistency from the top are non-negotiable. Otherwise, old habits resurface quickly under pressure.
6. Trust and Psychological Safety
Discovery requires candor: admitting what we don’t know, exposing flawed assumptions, and challenging cherished ideas. In teams where psychological safety is low, people may default to compliance instead of curiosity. Building trust is foundational — without it, discovery becomes surface-level and outcomes won’t improve.
7. Reconciling Legacy Systems and Processes
Older organizations often have complex technical stacks, compliance requirements, and heavyweight processes. Rapid experimentation can clash with these realities. The challenge isn’t to abandon rigor, but to find pragmatic ways to learn within constraints. Sometimes, that means starting small: a lightweight prototype here, a customer interview there, gradually expanding the team’s discovery muscles.
Where to Start
Educate and align: Run workshops on outcome-driven product development and why it matters.
Redefine success: Update metrics to include user-centric outcomes alongside delivery health.
Start small: Pilot discovery practices on one product line before scaling across the org.
Invest in skills: Train teams in interviewing, experimentation, and data analysis.
Champion patience: Leaders must role-model curiosity and tolerate early inefficiencies.
Conclusion
Introducing product discovery and user-centric KPIs to teams that haven’t practiced them for 15 years is less about process change and more about identity change. It asks people to rethink what success means, to embrace uncertainty, and to measure themselves against the customer’s lived reality rather than a delivery schedule.
The journey is hard, but the payoff is profound: products that solve real problems, teams that feel empowered, and businesses that stay relevant in a customer-first world.


