CoachScore

Turn sales calls into coaching plans in minutes.

CoachScore analyzes recorded or transcribed sales conversations and turns them into actionable coaching guides for reps and managers. It helps revenue teams spot talk-pattern gaps, objection handling misses, and next-step issues fast, so they can improve performance without manually reviewing every call.

Business Goals

  • Increase weekly active team usage to 60% of invited users within 90 days of launch.
  • Drive at least 25% of analyzed calls to produce a coaching guide within the first user session.
  • Improve free-to-paid conversion to 8% within 6 months for teams using more than 20 call reviews per month.
  • Reduce customer-reported call review time by 50% within 8 weeks of adoption.
  • Achieve 90% logo retention at 12 months for customers with at least 5 active managers.

User Goals

  • Upload or connect a sales transcript in under 2 minutes.
  • Receive a clear coaching guide with strengths, gaps, and next actions within 60 seconds for a standard transcript.
  • Compare a rep’s call against team best practices and scorecard expectations.
  • Share coaching feedback with a rep in a format that is easy to review and act on.
  • Track improvement over time across multiple calls and reps.

Non-Goals

  • Real-time live call monitoring or in-call coaching during the conversation.
  • Full CRM replacement or pipeline management.
  • Automatic compensation or quota management.
  • Legal discovery, compliance archiving, or regulated-record retention workflows.

Sales Manager Priya, 38 - Priya manages a team of eight account executives and spends too much time listening to calls manually. She needs a faster way to identify coaching opportunities and create consistent feedback for her team.

Sales Manager Priya, 38

  • As a sales manager, I want to upload a transcript and get a coaching guide, so that I can review more calls each week.
  • As a sales manager, I want the guide to highlight exact moments in the transcript, so that my feedback is specific and credible.
  • As a sales manager, I want to track repeated gaps across reps, so that I can plan team-wide coaching sessions.

AE Jordan, 29 - Jordan is an account executive who wants practical feedback after calls. He needs to know what to do differently on the next conversation, not just a generic score.

AE Jordan, 29

  • As a rep, I want to see what I did well and where I missed opportunities, so that I can improve my next call.
  • As a rep, I want suggested talk tracks for common objections, so that I can prepare better responses.
  • As a rep, I want a short action plan after each call, so that I can focus on 1–3 improvements instead of too many.

Enablement Lead Sofia, 41 - Sofia owns sales training across multiple teams and needs repeatable insights from call transcripts. She wants to spot patterns and align coaching to the company’s playbook.

Enablement Lead Sofia, 41

  • As an enablement lead, I want coaching categories aligned to our playbook, so that feedback matches our methodology.
  • As an enablement lead, I want exports and summaries across teams, so that I can measure coaching themes over time.
  • As an enablement lead, I want to flag strong calls as examples, so that managers can reuse them for training.

Transcript Ingestion and Parsing · High priority

  • Accept transcript files and connected call sources, normalize speaker turns, and prepare content for analysis.
  • Support paste-in text, .txt, .docx, and transcript exports from call platforms.
  • Detect speakers, timestamps, and blank or malformed sections, then prompt the user to fix issues before analysis.
  • Split long transcripts into chunks while preserving speaker context and chronology.
  • Store a normalized transcript model with speaker labels, timestamps, and call metadata.

Call Analysis and Coaching Generation · High priority

  • Analyze the transcript to produce an improvement guide with scores, observations, and recommended next actions.
  • Generate sectioned feedback for discovery, objection handling, messaging, next steps, and closing.
  • Highlight transcript quotes or timecoded moments that support each recommendation.
  • Produce a top-level performance score and sub-scores per coaching dimension.
  • Return concise, actionable recommendations limited to 3–5 prioritized items.

Playbook and Rubric Configuration · High priority

  • Allow teams to define their own evaluation criteria so feedback matches their sales methodology.
  • Let admins create scoring rubrics with weighted categories and custom descriptions.
  • Support reusable templates by team, product line, or sales motion.
  • Allow toggling between generic AI coaching and playbook-specific coaching.
  • Version rubrics so past reviews remain tied to the rules used at the time.

Review Workspace and Sharing · Medium priority

  • Provide a clear interface for reviewing, editing, and sharing coaching output with reps and managers.
  • Show transcript on one side and coaching insights on the other for easy comparison.
  • Allow comments, edits, and approval before sharing feedback externally.
  • Generate a shareable report link with permissions and expiration controls.
  • Support export to PDF and CSV for managers and enablement leaders.

Usage Tracking and Team Insights · Medium priority

  • Capture analysis usage and summarize trends across reps, managers, and call themes.
  • Track call volume, guide completion rate, and repeat issue frequency by rep.
  • Provide filters by team, date range, call type, and score band.
  • Surface top improvement themes and top-performing behaviors across the organization.
  • Flag outlier calls that need human review or QA follow-up.

Fast Transcript Review Setup

  • Sign up and choose a workspace.
  • Connect a call source like Gong or upload a transcript file.
  • Select a coaching rubric or use the default sales rubric.
  • Paste or import the transcript and verify speakers.
  • Click Analyze and see a coaching guide in under 60 seconds for a typical 10–15 minute call.
  • Save, edit, and share the guide with a rep or manager.

1. Import the call

  • The user starts by bringing in a transcript from a file, paste, or integration. The system validates format, speaker labels, and length before analysis.
  • If speaker names are missing, suggest generic labels and allow manual renaming.
  • If the transcript is too short or too noisy, warn the user and explain likely confidence issues.
  • Show import progress and estimated analysis time before submission.

2. Choose coaching criteria

  • The user selects a default sales rubric or a custom team playbook that defines what good looks like.
  • Display category weights and short definitions before running analysis.
  • Warn if the selected rubric has required fields that are missing.
  • Allow the user to apply the same rubric to multiple transcripts for consistency.

3. Generate the coaching guide

  • The system analyzes the conversation and produces a structured improvement guide with evidence and priorities.
  • Include a confidence indicator for each major finding.
  • Cite exact transcript passages for strengths, risks, and recommendations.
  • If the model detects low confidence, mark items as tentative and suggest human review.

4. Review and refine

  • The user edits the guide, adds comments, and trims recommendations before sharing.
  • Allow inline editing of titles, bullet points, and action items.
  • Preserve original AI output in an audit trail.
  • Support approval states such as draft, reviewed, and shared.

5. Share and track impact

  • The user sends the guide to a rep or manager and monitors whether coaching themes improve over time.
  • Generate a link or PDF with controlled access.
  • Show follow-up reviews on the same rep to compare score changes.
  • Surface repeated issues automatically when similar patterns appear in future calls.

Power Features for Revenue Teams

  • Custom scorecards by persona, product, or deal stage.
  • Benchmarking against the team’s top 10 percent of calls.
  • Bulk import and batch analysis for a full rep queue.
  • Auto-detection of objection types and competitor mentions.
  • Language support for English plus a second phase for Spanish transcripts.
  • Admin controls for retention, workspace permissions, and review approvals.

Clear, Coachable, Fast

  • Use a split-pane layout with transcript on the left and coaching insight cards on the right.
  • Show color-coded score signals with accessible contrast and keyboard navigation.
  • Keep recommendations short, ranked, and scannable on mobile and desktop.
  • Display confidence and evidence so users can trust why a suggestion exists.
  • Optimize for quick load times with partial rendering for long transcripts.

Priya, a sales manager, has 30 call recordings to review before her weekly 1:1s. She usually listens to just a few and fills the rest of the time with guesswork. With CoachScore, she uploads a transcript, chooses her team rubric, and gets a coaching guide that points to the exact moments where Jordan handled discovery well but missed a next-step close.

Instead of sending vague feedback, Priya shares a short action plan: ask two more discovery questions, confirm decision process earlier, and close with a specific calendar request. Jordan reviews the guide in five minutes and uses the same structure on his next call. Over time, the team gets more consistent coaching, faster rep improvement, and fewer hours spent on manual call review.

User-Centric Metrics

  • 80% of reviewed calls receive a coaching guide with at least 3 actionable recommendations.
  • Median time from transcript upload to coaching guide under 60 seconds for 15-minute calls.
  • At least 70% of guides are viewed by a manager or rep within 24 hours.
  • Rep follow-up completion rate reaches 45% within 30 days of coaching assignment.
  • Average coaching usefulness rating of 4.3 out of 5 or higher.

Business Metrics

  • 8% free-to-paid conversion within 6 months for active teams.
  • 25% of invited workspaces analyze at least 10 calls per month by day 60.
  • 90% logo retention at 12 months among customers with 5 or more weekly users.
  • 20% month-over-month growth in analyzed call volume for the first 2 quarters after launch.

Technical Metrics

  • 99.9% monthly uptime.
  • P95 transcript analysis latency under 60 seconds for transcripts up to 5,000 words.
  • Zero critical security incidents and annual penetration test completion.
  • Less than 1% failed imports due to system errors per month.

Tracking Plan

  • track_signup_completed
  • track_transcript_imported
  • track_rubric_selected
  • track_analysis_started
  • track_analysis_completed
  • track_guide_shared
  • track_recommendation_edited
  • track_followup_marked_complete

Technical Needs

  • Frontend built in Next.js with React and TypeScript.
  • Backend API in Node.js with Fastify or NestJS.
  • Async job processing with a queue such as BullMQ and Redis.
  • PostgreSQL for workspaces, transcripts, rubrics, and analysis results.
  • Object storage such as Amazon S3 for transcript files and exports.
  • LLM orchestration layer with prompt templates, retrieval, and safety checks.
  • Observability with OpenTelemetry, Sentry, and structured logs.

Integration Points

  • Gong transcript import and OAuth.
  • Zoom and/or Chorus-style call transcript imports where available.
  • Google Workspace or Microsoft 365 for authentication and sharing.
  • Stripe for billing and subscription management.
  • Slack for coaching delivery and notifications.

Data Storage & Privacy

  • Encrypt transcript data at rest and in transit using AES-256 and TLS 1.2+.
  • Provide workspace-level data retention controls and delete-on-request flows.
  • Separate customer data logically by tenant and enforce RBAC on all access.
  • Support GDPR and CCPA deletion, export, and consent handling.
  • Do not train shared models on customer transcripts without explicit opt-in.

Scalability & Performance

  • Use background jobs for transcript analysis so the UI stays responsive.
  • Cache repeated rubric definitions and common prompt components.
  • Support large transcripts through chunking and streaming result assembly.
  • Design for multi-tenant scaling with query indexes on workspace, rep, and date filters.

Potential Challenges

  • Hallucinated or vague coaching advice could reduce trust; mitigate with evidence-backed citations and confidence labels.
  • Different sales methodologies may conflict with generic coaching; mitigate with customizable rubrics and versioning.
  • Sensitive call data raises privacy concerns; mitigate with strong encryption, access controls, and retention settings.
  • Long transcripts may increase latency; mitigate with chunked processing and async status updates.
  • Integration failures from third-party call platforms could block imports; mitigate with manual upload fallback and retry queues.

Team & resourcing - Small team - 2 full-stack engineers, 1 product designer, part-time PM, and shared ML support.

Phase 1: MVP Transcript to Guide · Weeks 1–4

  • Paste/upload transcript flow
  • Default sales coaching rubric
  • AI-generated improvement guide
  • Basic auth and workspace model
  • Simple save and share via link

Phase 2: Manager Workflow · Weeks 5–8

  • Inline transcript and insight review screen
  • Edit and comment workflow
  • PDF export
  • Usage tracking dashboard
  • Role-based access for managers and reps

Phase 3: Playbook Customization · Weeks 9–12

  • Custom rubric builder
  • Rubric versioning
  • Team benchmarks
  • Bulk transcript import
  • Slack notification integration

Phase 4: Scale and Integrations · Weeks 13–16

  • Gong import
  • Stripe billing
  • Advanced analytics by team and rep
  • Retention controls and deletion tooling
  • Performance tuning for larger workspaces

Paste this into Cursor, Bolt, Lovable, or v0 to start building.

Build a web app called CoachScore that turns sales call transcripts into actionable coaching guides for managers, reps, and enablement leads.

Core product:
Users can paste a transcript, upload a text/docx file, or import from a sales call platform. The app analyzes the transcript and returns a structured coaching guide with an overall score, sub-scores, strengths, improvement areas, recommended next actions, and cited transcript evidence. Teams can use a default sales rubric or create custom rubrics/playbooks with weighted categories.

Primary screens and flows:
1. Authentication and workspace setup
2. Transcript import screen with paste/upload/import options and speaker cleanup
3. Rubric selection/customization screen
4. Analysis progress and results screen with split-pane transcript and coaching insights
5. Review/edit/share screen for comments, approvals, PDF export, and share links
6. Team dashboard showing analyzed calls, score trends, recurring issues, and follow-up status

Data model:
Workspace, User, Role, Transcript, TranscriptSpeaker, Rubric, RubricCategory, AnalysisJob, AnalysisResult, Insight, EvidenceQuote, CoachingGuide, Comment, ShareLink, ExportJob, UsageEvent

Requirements:
Use Next.js, React, TypeScript, PostgreSQL, Redis queue, and a Node.js API. Store uploaded files in S3-compatible storage. Implement RBAC, tenant isolation, audit logs, and basic billing hooks with Stripe. Add analytics events for import, analysis start/completion, guide share, edit, and follow-up completion. Make the UI fast, accessible, and optimized for long transcripts. Include graceful error handling for malformed transcripts, low-confidence analysis, and failed third-party imports. Build with clean component structure, seeded demo data, and polished responsive UI.

Business Idea

Rate your sales people turn a transcript into an improvement guide

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