continuous-discovery

Name: continuous-discovery
Availability: InStock
Author: maitreya04

Establish a weekly continuous discovery cadence with customer interviews and OST maintenance.

Updated Mar 1, 2026

Search Tags:#interviews #prioritization #recruitment #snapshot #opportunity-solution-tree #continuous-discovery #experience-mapping

Ready to run

npx skills add https://github.com/Maitreya04/pasplmaster --skill continuous-discovery-maitreya04

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: continuous-discovery
Source: https://github.com/Maitreya04/pasplmaster/tree/main/.agents/skills/continuous-discovery
Command: npx skills add https://github.com/Maitreya04/pasplmaster --skill continuous-discovery-maitreya04

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Continuous discovery is a weekly, sustainable practice that embeds customer learning into the product team's rhythm, helping teams move from gut-driven decisions to evidence-based outcomes.

Core Features & Use Cases

OST maintenance: Keep a living Opportunity Solution Tree aligned with desired outcomes.
Interview snapshots: Capture real customer stories and synthesize them into quick-reference artifacts.
Experience mapping and opportunities: Map current experiences to surface pain points and opportunities for improvement.
Assumption testing & prioritization: Identify leap-of-faith assumptions, map by importance/evidence, and test high-risk ideas early.
Cadence and automation: Automate recruitment prompts and establish standing interview slots for sustainable practice.

Quick Start

Schedule a weekly interview with a customer, capture an interview snapshot, map opportunities to an OST, and review the tree with the product trio.

Frequently Asked Questions about continuous-discovery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

What is continuous discovery and how does it change product team workflows?▼

Continuous discovery is a weekly practice embedding customer interviews into your product team's rhythm. It shifts decisions from gut-driven guesses to evidence-based outcomes by capturing interview snapshots and maintaining a living opportunity solution tree.

How do I maintain a living opportunity solution tree aligned with product outcomes?▼

To maintain an opportunity solution tree, schedule weekly customer interviews, synthesize findings into interview snapshots, map discovered opportunities to the tree, and review the updated tree regularly with your product trio.

How do you map customer experiences to surface opportunities for product improvement?▼

Experience mapping tracks current customer journeys to identify friction points. By capturing real customer stories during weekly interviews, teams can map these experiences and translate the pain points into structured opportunities on the solution tree.

Can I use automated recruitment for weekly customer interviews in a SaaS environment?▼

Yes, this continuous discovery process supports SaaS teams by using lightweight automation for recruitment prompts. Automating recruitment and establishing standing interview slots ensure a sustainable weekly cadence for ongoing customer learning.

What is the best way to test high-risk assumptions identified during customer discovery?▼

The best way to test assumptions is to identify leap-of-faith ideas, map them by importance and evidence, and prioritize testing the highest-risk assumptions early. This structured approach ensures evidence-based prioritization of product decisions.

What is continuous-discovery designed for and when should I not use it?▼

Continuous-discovery is designed for product trios in SaaS contexts needing ongoing customer learning and opportunity mapping. It is not suited for teams unable to commit to a weekly interview cadence or lacking the resources for regular synthesis.