alexe-ev

Analyze and recommend pricing structures and packaging options aligned with value delivery and business goals. Use this skill when a team needs to make or review pricing and packaging decisions.

Run a pre-mortem analysis to identify ways a product initiative could fail before it launches. Use this skill when a team wants to proactively surface failure modes and plan mitigations before committing to execution.

Evaluate whether a product experiment hypothesis is specific, measurable, and suitable for testing. Use this skill when the user already has a draft hypothesis and wants to know if it is strong enough for an A/B test or other product experiment.

Structure and interpret a cohort analysis to understand retention, engagement, or behavior patterns over time. Use this skill when a team needs to understand how different user groups behave across their lifecycle.

Analyze the outcome of a product experiment using control and test results, effect size, and statistical evidence. Use this skill when the user has experiment results and needs a clear readout of what happened.

Define the primary metric, secondary metrics, guardrails, and success criteria for a product experiment. Use this skill when the user has a hypothesis or planned test but has not yet defined how success should be measured.

Build a complete product experiment plan from a validated hypothesis, metrics, and testing assumptions. Use this skill when the user is ready to prepare an A/B test or structured product experiment for execution.

Evaluate AI model capabilities, limitations, and trade-offs relevant to a product decision. Use this skill when a team needs to understand what an AI model can and cannot reliably do for their use case.

Define the success metrics for an AI feature covering quality, user experience, business impact, and safety. Use this skill when an AI feature needs a complete metric framework before launch.

Design workflows that appropriately balance AI automation with human oversight and intervention. Use this skill when a team is building an AI feature and needs to decide when and how humans stay in the loop.

Define quality criteria for AI features and set up monitoring, evaluation, and iteration loops. Use this skill when a team needs to ensure their AI feature maintains acceptable quality in production.

Frame the value of an AI feature in terms of user outcomes and business impact, not model capabilities. Use this skill when a team needs to articulate why an AI feature is worth building and what success looks like.

Generate and frame AI feature ideas with clear value propositions and feasibility considerations. Use this skill when a team wants to explore AI-powered capabilities for their product.

Structure the trade-off decision between AI models, providers, or approaches for a given product use case. Use this skill when a team needs to choose between AI options with different capability, cost, latency, and risk profiles.

Design and run a structured evaluation of an AI prototype to assess quality, user experience, and readiness for development. Use this skill when an AI feature prototype needs to be evaluated before committing to full development.

Estimate the sample size and expected duration needed for a product experiment. Use this skill when the user has a primary metric and wants to know how many users are needed to detect a meaningful effect with a chosen confidence level and power.

Recommend what to do after an experiment based on the result quality, effect size, and business context. Use this skill when the user has a completed experiment and needs a practical product decision such as roll out, rerun, iterate, segment-rollout, or reject.

Ensure product decisions are aligned with the revenue model, pricing strategy, and commercial goals. Use this skill when a team needs to check or strengthen alignment between product direction and revenue outcomes.

Analyze unit economics including CAC, LTV, payback period, and gross margin to assess product and business health. Use this skill when a team needs to understand the economic health of their product or business model.

Develop a structured business case for a product investment including ROI, costs, risks, and expected outcomes. Use this skill when a team needs to justify a product investment to leadership or stakeholders.

Evaluate the current pricing model against customer behavior, competitive context, and business goals to identify structural improvements. Use this skill when pricing may be limiting growth or not capturing full value.

Frame a return-on-investment analysis for a product initiative to support investment decisions. Use this skill when a team needs to quantify the expected return on a product investment relative to its cost.

Model customer lifetime value (LTV) and customer acquisition cost (CAC) to assess unit economics and growth sustainability. Use this skill when a team needs to understand whether the business model is economically sustainable.

Turn a product problem, idea, observation, or business goal into a clear testable experiment hypothesis. Use this skill when the user has an idea or problem but not yet a properly structured hypothesis for an A/B test or product experiment.

Build a launch readiness checklist that covers all cross-functional dependencies before a product or feature goes live. Use this skill to ensure no critical launch step is missed.

Build and compare forecasting scenarios to support product and business planning decisions. Use this skill when a team needs to project outcomes under different assumptions.

Identify which assumptions in a forecast or business case have the most impact on the outcome. Use this skill when a team needs to understand the risk profile of a plan and which variables deserve the most attention.

Analyze churn patterns, identify root causes, and design retention intervention strategies. Use this skill when a team needs to understand why customers are leaving and how to stop it.

Build a customer health score model that predicts churn risk and expansion potential. Use this skill when a team needs a systematic, data-driven way to assess account health across the customer base.

Design a customer feedback survey that generates reliable, actionable data. Use this skill when a team needs to collect structured feedback at scale without the bias and noise that comes from poorly designed surveys.

Design a retention playbook with interventions for at-risk accounts, expansion opportunities, and churn prevention tactics. Use this skill when a CS team needs structured plays for proactively improving retention.

Define and monitor adoption health metrics to identify at-risk accounts and expansion opportunities. Use this skill when a team needs to systematically track whether customers are successfully adopting and getting value from the product.

Design and operate a Voice of Customer program that surfaces systematic insights from customers. Use this skill when a team needs a structured system for collecting and acting on customer feedback.

Synthesize large volumes of customer feedback into structured themes and actionable product signals. Use this skill when feedback has been collected and needs to be organized into patterns that inform product decisions.

Establish a feedback intake and triage system that routes insights to the right product teams. Use this skill when a team needs a reliable system for processing incoming customer feedback.

Analyze funnel drop-off, retention curves, and cohort behavior to identify problems and opportunities. Use this skill when a team has data and needs to understand user behavior patterns.

Audit whether a product experiment was designed and run in a way that makes the result trustworthy. Use this skill when the user wants to check for issues such as peeking, invalid stopping logic, traffic imbalance, contamination, or other threats to validity.

Structure a product dashboard that supports consistent, fast decision-making. Use this skill when a team needs to design or improve a product metrics dashboard.

Design a metric alerting system with thresholds, alert logic, and escalation paths so teams can detect performance issues before they become serious. Use this skill when a product needs proactive monitoring rather than reactive discovery.

Define a metrics framework for a product area including primary metrics, secondary metrics, and guardrails. Use this skill when a team needs to decide what to measure and how metrics connect to goals.

Identify and interpret signals of product performance change including regressions, improvements, and anomalies. Use this skill when a team needs to investigate an unexpected change in a metric.

Diagnose the root cause of an unexpected metric movement by systematically ruling out alternative explanations. Use this skill when a significant metric change has been detected and the team needs to understand why it happened.

Plan the event tracking and instrumentation needed to measure product behavior and support analytics. Use this skill when a feature is being built and the analytics implementation needs to be defined before development.

Apply a structured decision framework (DACI, SPADE, RAPID, or equivalent) to make product decisions clearly and accountably. Use this skill when a decision needs defined ownership, input, and accountability before proceeding.

Establish or refresh the operating norms and working agreements that govern how a product team works together. Use this skill when a team lacks explicit norms or existing norms are no longer working.

Identify and map the compounding growth loops embedded in a product. Use this skill when a team wants to understand what mechanisms drive self-reinforcing growth and how to strengthen them.

Identify and frame the real product problem or opportunity before jumping to solutions. Use this skill when a team has a rough signal, observation, or area of concern but hasn't yet defined what the actual problem is.

Design and populate a product knowledge base that preserves context, decisions, and institutional knowledge. Use this skill when a team loses time to repeated questions, onboarding gaps, or forgotten decisions.