Interview Synthesis

Transforms discovery call notes into quick wins, customized guides, ranked solutions, and pilot recommendations.

Updated Jan 29, 2026
One-click install
npx skills add https://github.com/sparkst/sparkry-claude-skills --skill interview-synthesis-sparkst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Interview Synthesis
Source: https://github.com/sparkst/sparkry-claude-skills/tree/main/plugins/interview-toolkit/skills/interview-synthesis
Command: npx skills add https://github.com/sparkst/sparkry-claude-skills --skill interview-synthesis-sparkst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? After a client discovery call, raw interview notes often sit unused or get turned into generic follow-ups. This Skill converts structured discovery call notes into four concrete, personalized deliverables so clients receive actionable value the same day and a clear implementation path within three days. ## Core Features & Use Cases - Quick Win Recommendations: Generates 3-5 same-day, low-setup recommendations targeting the highest-severity pain points from the call. - Customized Guide: Builds a personalized guide mapped to the client's daily workflow, tech stack, and stated pain points. - Ranked Solution Ideas: Scores 10-20 solution candidates using a weighted formula (pain severity, feasibility, time savings, client interest). - Pilot Recommendation: Selects the top 3 solutions with timelines, success metrics, risk assessments, and ROI estimates. - Use Case: After a 45-minute discovery call with a consultant drowning in manual email triage, produce same-day quick wins, then deliver a tailored guide and a pilot plan proposing three automation projects with week-by-week timelines. ## Quick Start Use the interview-synthesis skill to turn my discovery-call-notes.md into quick wins, a customized guide, ranked solutions, and a pilot recommendation.

Frequently Asked Questions about Interview Synthesis

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

FAQPage Schema
How do I turn discovery call notes into client deliverables?▼

Feed structured discovery call notes containing pain points, tech stack, and reaction signals into the synthesis workflow. It produces same-day quick wins, a customized guide within three days, ranked solution ideas, and a pilot recommendation with timelines.

How are solution ideas ranked after a client interview?▼

Solutions are scored with a weighted formula: pain severity at 40%, feasibility at 30%, time savings at 20%, and client interest at 10%. Each factor uses a defined scale, producing a priority score that ranks 10-20 candidates.

What input format does interview synthesis require?▼

It expects structured notes from the discovery-call skill, typically a discovery-call-notes.md file. The notes must include pain points with severity and frequency, tech stack satisfaction ratings, solution reaction signals, day-in-life workflow, quotes, and red flags.

How are pilot projects selected from ranked solutions?▼

Pilots must address high-severity pain, have a clear success metric, and be implementable in two to four weeks. Client excitement, portfolio value, and scalability are secondary criteria, and each pilot gets a timeline, risk assessment, and ROI estimate.

What are the limitations of automated interview synthesis?▼

Output quality depends entirely on the completeness of the input notes; missing severity scores or interest signals weaken the ranking. It also cannot validate whether proposed solutions are technically feasible in the client's actual environment.