Reference Deep-Dives — Page 70
Pricing & Packaging Research for UX Teams: Where to Start
Most UX teams avoid pricing research. Here's how to approach willingness-to-pay studies without drowning in spreadsheets.
Reducing Bias in AI-Assisted UX Research: Practical Safeguards
AI transforms research speed and scale, but introduces new bias risks. Evidence-based safeguards that preserve insight quality.
When Stakeholders Disagree: Using Evidence to Align
How research teams use evidence to align when stakeholders disagree, turning conflicting opinions into data-driven decisions through systematic analysis.
When 'User Asked For It' Isn't Evidence: Reframing Requests
Feature requests feel like validation, but they're often symptoms of deeper problems. Learn why 'users asked for it' fails as ...
AI in Churn Analysis: Benefits, Biases, and Guardrails
Explore AI in churn analysis: benefits, biases, and guardrails. Learn how machine learning predicts customer churn while mitigating risks systematically.
Reduce Churn: Communicate, Compensate, Retain During Outages
Customers who experience outages churn 4x faster than the baseline — unless the incident response signals competence. Communicate, compensate, retain.
Churn Post-Mortems: Learning Without Blame
Churn post mortems learning without blame: extract actionable insights from customer departures while building psychological safety and improving retention.
Competitor Positioning and Churn: Why Alternatives Felt Safer
When customers switch to competitors, it's often about perceived risk. Learn why alternatives felt safer and how to improve your positioning and reduce churn.
Customer Advisory Boards: Using Them to Preempt Churn
Customer advisory boards reveal churn signals months before they appear in data—if you structure them for honest feedback.
Expansion and Churn: Growing While You Keep What You Have
Expansion revenue can mask churn for quarters before NRR cracks. Separate the two motions and read the metrics that reveal real retention health.
OKRs for Retention: Goals That Move NRR
Most retention OKRs optimize for the wrong outcomes. Here's how to set objectives that actually drive net revenue retention.
Retention Playbooks: High-Touch, Tech-Touch, No-Touch
Segmenting customers by churn-risk tier — not by ARR — cuts retention cost 40%+. High-touch, tech-touch, and no-touch playbooks for each risk band.