Cheapest AI models for Product & Project Management

“The artifact perfectly executes an outcome-oriented Now/Next/Later roadmap. It leads with clear customer problems and measurable success metrics for each horizon. It explicitly acknowledges the uncertainty of the 'Later' horizon and avoids being a dated feature factory. While the rubric mentions acceptance criteria, this is a roadmap artifact where such granular details are not applicable; however, its strategic metrics and problem statements are highly specific and testable.”

Here is an outcome-oriented Now/Next/Later roadmap for Cedar & Sage. Rather than a rigid timeline of features, this roadmap focuses on the customer problems we are solving to drive our primary business goal: **improving customer retention and lifetime value (LTV).**

***

### **NOW**
*We are actively working on these initiatives. We have high confidence in the problems we are solving and the resources allocated to them.*

**Primary Outcome:** Reduce Day-30 subscription churn by 15% and increase the second-order rate.
**Strategic Focus:** Removing immediate post-purchase friction and ensuring customers get immediate value from their first Cedar & Sage experience.

**Problems we are solving:**
*   **"I don't know how to properly use what I bought."** 
    *   *Focus:* Revamping our post-purchase education. We are exploring automated, personalized email/SMS guides tailored to the specific wellness products a customer just received, rather than generic brand emails.
*   **"Managing my subscription is too difficult."** 
    *   *Focus:* Overhauling the self-serve customer portal. Customers should be able to easily pause, skip, or swap products without needing to contact support. 
*   **"My first order took too long to arrive."**
    *   *Focus:* Improving fulfillment transparency. We are implementing proactive shipping delays notifications and better order-tracking visibility so customers aren't left in the dark.

---

### **NEXT**
*These are the priorities we will tackle once our 'Now' outcomes are achieved. We know these are the right problems to solve, but the exact solutions are still being researched and prototyped.*

**Primary Outcome:** Increase 90-day repeat purchase rate by 20% and improve average orders per active customer.
**Strategic Focus:** Habit formation, per

“The artifact is an excellent, outcome-driven PRD that perfectly leads with the problem, defines measurable success metrics, and comprehensively covers scope and edge cases without fabricating data, with only a minor deduction for lacking explicit Given-When-Then acceptance criteria.”

# PRD: At-Risk Brokerage Account Detection for Customer Success

## Summary
Build a v1 account-risk capability that identifies managed brokerage accounts likely to churn or materially contract in the next 90 days, explains the top risk drivers, and gives Customer Success a reliable way to prioritize intervention before renewal is lost.

## Problem Statement
**Who hurts:**  
- **Customer Success Managers (CSMs)** manage too many brokerage accounts to inspect each one manually. Today they rely on spreadsheets, gut feel, and late signals from renewals or escalations.  
- **Revenue / CS leadership** lacks an early, consistent view of preventable churn risk across the book of business.  
- **Brokerage customers** with adoption, support, or operational issues often do not get proactive help until dissatisfaction is already severe.

**Why now:**  
- Retention is increasingly valuable as new-logo growth becomes more expensive and brokerage budgets tighten.  
- Northwind’s brokerage customer base is large enough that reactive account management no longer scales.  
- Northwind already has useful signals across product usage, support, CRM, and billing, but they are fragmented and not turned into an actionable account-level risk view.

## Goal / Success Metric
**Primary success metric:** Within 2 quarters of launch, **70% of managed brokerage accounts that churn or contract >20% ARR are flagged “High Risk” at least 45 days before the event**.

Optional guardrail for operations: keep the high-risk queue small enough to act on (e.g., no more than ~20–25% of managed accounts flagged at one time).

## Scope
### In Scope for v1
1. **Account-level risk scoring for managed brokerage accounts**
   - Predict risk of non-renewal or material contraction in the next 90 days.
   - Start with ac

“The model returned an empty response.”