Revenue Enablement report
Win/Loss Analyzer: your result
This answer uses a made up example company. Change the details above and press Run to see your own result.
Win/Loss Analyzer
For sales and revenue leads. The decision: why did we win or lose, and what do we change?
Give it the type of review, plus the deal outcome and details, and get the likely reasons you won or lost, questions for the review, a stakeholder analysis and action items.
This sample is a made up example, built from the inputs behind Fill in an example. It shows part of one section of the answer.
The product lost this deal to your first competitor. The deal was worth $36,000 and ran 75 days.
What was sold: our product.
What the buyer weighed. The buyer weighed the product against your first competitor.
The stated reason. The reason the buyer gave, in the words you recorded: "price".
What the reason points to.
See the full example answer or run it with your own details.
Revenue Enablement report
This answer uses a made up example company. Change the details above and press Run to see your own result.
When a tool is not enough: if the decision needs more than one answer, talk it through in a call. Book 45 minutes with Shashwat.
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Generated on 2 November 2026 from this branch, with the inputs behind Fill in an example. Your own inputs give a different result.
Revenue Enablement report
Sector: not clear from your inputs (name the industry for sector notes). Business model: not stated. Tell us how you charge and the plan will adjust.
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The product lost this deal to your first competitor. The deal was worth $36,000 and ran 75 days.
What was sold: our product.
What the buyer weighed. The buyer weighed the product against your first competitor.
The stated reason. The reason the buyer gave, in the words you recorded: "price".
What the reason points to.
| Item | Value |
|---|---|
| Solution | our product |
| Deal Value | $36,000 |
| Sales Cycle | 75 days |
| Outcome | Lost |
| Stated reason | Price |
| Competitor who won | Your first competitor |
What was not given, and what each input would change:
stakeholders involved: it would change the people section from a list of sector roles to the real buying group, with a question for each person.deal details: it would add the buyer, the alternatives and the notes to the write-up.How the answer is laid out, using the sections the tool prints. Each branch is a hypothesis to check.
When a tool is not enough: if the decision needs more than one answer, talk it through in a call. Book 45 minutes with Shashwat.
The analyzer summarizes the deal facts you entered into a Write-up (What was sold, What the buyer weighed, The stated reason, and What the reason points to) and generates specific Questions for the review call based on your outcome, deal value, sales cycle length, stated reason, and winning competitor. It treats the stated loss reason (such as "price") as a hypothesis to check: for example, asking whether the value case was agreed in the buyer's own numbers before price came up, and whether the recorded reason was the real reason or the polite one.
Run the analyzer after every closed-won or closed-lost deal in Single deal mode, and come back at the end of the quarter in Several deals, Competitor analysis, or Loss pattern mode with a portfolio summary of your deals. The tool applies the same fixed rules every time. It does not call an AI model, and this site does not keep what you enter.
Add Revenue Enablement once (see Use it in Claude, ChatGPT or Gemini), then ask in plain words. Here is a prompt built from the tested example:
My role is not stated. Ask me for my role first. Use Revenue Enablement's Win/Loss Analyzer tool. analysis type: Single deal; deal outcome: Lost; loss reason: price; competitor won: your first competitor; deal value: 36000; your solution: our product; sales cycle days: 75. If this tool is unavailable, ask me to open its web page; do not invent its output. In Gemini CLI or Antigravity, use the Helix GTM Suite skills package for related guidance, without claiming to run this connector.
You do not need to sign in. A web browser is enough, and the answer comes back in a second or two.
It applies fixed rules in the Revenue Enablement code to the inputs above and returns text. It does not call an AI model, does not look anything up, and does not store what you type. The web form and the AI assistant connector run the same tool code, so the same input gives the same answer in both.
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MCP tool name: win_loss_analyzer. REST: POST https://revenue-enablement.gtmhelix.com/api/tools/win_loss_analyzer with this JSON body (see How it works):
{
"input": {
"analysis_type": "single_deal",
"deal_outcome": "lost",
"loss_reason": "price",
"competitor_won": "your first competitor",
"deal_value": 36000,
"your_solution": "our product",
"sales_cycle_days": 75
}
}
Run a Helix tool in your browser, then take the result to ChatGPT, Claude or Gemini. Connectors work with supported plans in Claude, ChatGPT, Cursor, VS Code and Windsurf. The Helix GTM Suite skills package supports Claude Code, Gemini CLI, Antigravity, Cursor and VS Code, and is available through skills.sh. Each plugin has its own installation steps, below or on its own page.
Connector setup guides · Skills package setup guide · Find the skills on skills.sh