sales-proshort

name	sales-proshort
description	Proshort platform help — enablement-first conversation intelligence with contextual AI coaching, AI Roleplay, CRM auto-sync, deal risk alerts. Use when setting up Proshort call recording on Zoom/Meet/Teams, configuring AI Roleplay for rep onboarding, Proshort deal risk alerts not appearing in Slack, Proshort CRM auto-sync not populating Salesforce/HubSpot/Zoho fields, comparing Proshort vs Gong vs Avoma vs Rafiki for mid-market CI, choosing an enablement-first CI platform that combines coaching with call analysis, or evaluating Proshort's paid per-seat pricing against alternatives. Do NOT use for reviewing a single call for coaching (use /sales-call-review) or building a coaching program across tools (use /sales-coaching).
argument-hint	[describe what you need help with in Proshort]
license	MIT
version	1.0.1
tags	["sales","conversation-intelligence","coaching","enablement","platform"]

Proshort Platform Help

Step 1 — Gather context

If references/learnings.md exists, read it first for accumulated platform knowledge.

Ask the user:

1. What's your primary goal?

   • A) Evaluate Proshort vs alternatives (selection/comparison)
   • B) Set up or configure Proshort (recording, CRM sync, coaching)
   • C) Troubleshoot an issue (alerts not firing, CRM fields not syncing, roleplay not working)
   • D) Understand pricing and plan differences

2. What's your current setup?

   • A) CRM: Salesforce / HubSpot / Zoho / Other
   • B) Video platform: Zoom / Google Meet / Teams
   • C) Team size and current CI tool (if any)

Skip-ahead rule: if the user's prompt already contains enough context, skip to Step 2.

Step 2 — Route or answer directly

Problem domain	Route to
Reviewing a specific call for coaching or scoring	/sales-call-review {user's question}
Building a coaching program across tools	/sales-coaching {user's question}
Comparing note-taker/CI platforms broadly	/sales-note-taker {user's question}
General CRM-to-tool integration (Zapier, webhooks, iPaaS)	/sales-integration {user's question}
Revenue forecasting strategy	/sales-forecast {user's question}

Otherwise, answer directly below.

Step 3 — Proshort platform reference

Read references/platform-guide.md for the full platform reference — capabilities, pricing, integrations, data model, and recipes.

Answer the user's question using only the relevant section. Don't dump the full reference.

Step 4 — Actionable guidance

You no longer need the platform guide — focus on the user's specific situation.

Evaluation framework:

1. Budget — $75/user/mo Professional, custom Enterprise. No free tier. Compare: Rafiki $19-49, Outdoo ~$55-100, Attention ~$59, Gong $100-133.
2. Coaching depth — AI Roleplay + in-call cues + snippet library + Skill Intelligence Dashboard. Stronger coaching than Gong/Avoma; weaker raw CI analytics than Gong.
3. CRM integration — Salesforce/HubSpot/Zoho auto-sync. 100% field fill rate claimed. No API for custom integrations.
4. Compliance — SOC 2 Type 2, ISO 27001, GDPR, HIPAA. Strong for regulated industries.
5. Limitations — No public API, no webhooks, no MCP server. All automation is through native integrations.

If you discover a gotcha, workaround, or tip not covered in references/learnings.md, append it there.

Gotchas

Best-effort from research — review these, especially items about plan-gated features and integration gotchas that may be outdated.

• No public API or webhooks. All integrations are native (Salesforce, HubSpot, Zoho, Slack, Gong). No way to build custom integrations or pipe data to a warehouse.
• Pricing page returns 404. The $75/user/mo Professional pricing comes from the homepage — verify with Proshort sales before committing.
• No free tier or trial documented. Unlike Rafiki (free tier + 14-day trial) or Fathom (unlimited free), Proshort requires a sales conversation.
• "TodoFusion" appears in blog titles. This appears to be a CMS artifact, not a separate product — don't confuse them.
• Small review base. No G2 reviews found — rely on case studies (RateGain, Increff, Aviz Networks) for social proof.
• Gong integration listed. Proshort integrates with Gong — suggests it can layer coaching on top of existing Gong CI, not just replace it.
• Enterprise pricing is custom. Includes dedicated support, 99.9% SLA — budget significantly above $75/user for Enterprise.

Related skills

• /sales-note-taker — Compare Proshort against other CI platforms (Gong, Avoma, Rafiki, Fireflies, etc.)
• /sales-coaching — Build coaching programs that consume call data from Proshort or other CI tools
• /sales-call-review — Review a specific call for coaching
• /sales-forecast — Revenue forecasting and deal health
• /sales-do — Not sure which skill to use? The router matches any sales objective to the right skill. Install: npx skills add sales-skills/sales --skill sales-do

Examples

Example 1: Evaluating Proshort vs Gong for a mid-market team

User says: "We're a 20-rep SaaS team on HubSpot. Gong quoted us $1,400/user/yr. Is Proshort worth considering?" Skill does:

1. Reads platform guide for pricing comparison: Proshort $75/user/mo ($900/yr) vs Gong $1,400/yr
2. Notes Proshort's coaching focus (AI Roleplay, contextual in-call cues) vs Gong's broader analytics
3. Flags that Proshort has no public API while Gong has REST + webhooks
4. Recommends Proshort if coaching/enablement is the priority; Gong if analytics/API/ecosystem matters more Result: Clear comparison with a decision framework tied to the team's priorities.

Example 2: Setting up CRM auto-sync with Salesforce

User says: "How do I get Proshort summaries and action items into Salesforce automatically?" Skill does:

1. Reads platform guide for CRM sync section
2. Explains native Salesforce integration — auto-pushes summaries, action items, and coaching insights to opportunity records
3. Notes 100% field fill rate claim — no manual data entry needed
4. Warns there's no API fallback if native sync doesn't cover custom fields Result: Setup guidance with realistic expectations about native integration limits.

Example 3: Proshort AI Roleplay not scoring accurately

User says: "The AI Roleplay scores seem inconsistent — some reps get high scores on weak performances." Skill does:

1. Reads platform guide for AI Roleplay section
2. Explains that roleplay scenarios are built from real customer conversations — check if the source calls are representative
3. Suggests calibrating with top-performer examples in the snippet library
4. Notes this is a known limitation of AI-scored roleplay across all platforms (Solidroad, SecondBody, Outdoo) Result: Troubleshooting steps plus context that this is an industry-wide challenge.

Troubleshooting

CRM fields not populating after calls

Symptom: Proshort records and transcribes calls but Salesforce/HubSpot fields stay empty Cause: CRM connection may not be fully authorized, or field mapping may not be configured Solution: Re-authorize the CRM connection in Proshort settings. Verify field mappings match your CRM schema. Check that the recorded meeting was on a supported platform (Zoom/Meet/Teams). Note: there's no API to debug this programmatically — check Proshort's dashboard for sync status.

Deal risk alerts not appearing in Slack

Symptom: Deals are clearly stalled but no Slack notifications arrive Cause: Slack integration may not be connected, or alert thresholds may not match your deal velocity Solution: Verify Slack workspace connection in Proshort settings. Check alert configuration — Deal Agents need to know what "stalled" means for your pipeline (days without activity, missing stakeholders, etc.). Start with default thresholds and tune from there.

AI Roleplay scenarios feel generic

Symptom: Reps say roleplay doesn't match real customer conversations Cause: Roleplay scenarios may be using default templates rather than your team's actual call library Solution: Build the snippet library first — tag top-performer calls by persona, deal stage, and competitor. AI Roleplay quality improves as the call library grows. Feed recent competitive win/loss calls to get more relevant objection-handling scenarios.