ICP Intelligence report
ICP Interview Synthesizer: your result
This answer uses a made up example company. Change the details above and press Run to see your own result.
ICP Interview Synthesizer
For product marketers and founders after customer interviews. The decision: what did our customers tell us, and what should change?
Give it notes from your customer interviews, and get back the top pain points, buying triggers and value realized, key quotes, refinements to your profile and a template for the next round.
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.
ICP Implication: Target customers experiencing these pain points
ICP Implication: Time outreach around these events
See the full example answer or run it with your own details.
ICP Intelligence report
This answer uses a made up example company. Change the details above and press Run to see your own result.
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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.
ICP Intelligence report
Count: 2 interviews
Roles Represented: Finance Controller, Head of Accounts Payable
Sector: read from your inputs as fintech, spend and expense (from the deal details: your own description names no sector).
ICP Implication: Target customers experiencing these pain points
ICP Implication: Time outreach around these events
ICP Implication: Treat these as reported claims to verify. Do not lead with an unmeasured or unconfirmed outcome; obtain its source, scope and date first
No single leading role: Finance Controller and Head of Accounts Payable appear equally often.
ICP Implication: Focus outreach on these titles
"We spent the first week of every month matching card spends by hand."
(Finance Controller at a manufacturing company)
"Half my team's week went on chasing receipts."
(Head of Accounts Payable at an IT services company)
Based on patterns, your ideal customer:
Based on customer language, update:
Based on gaps in this analysis, ask about:
Next Step: Conduct more interviews to strengthen pattern confidence
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 synthesizer counts how often each pain point, buying trigger, post-purchase value, and champion role appears across the structured interview lines you entered (customer | role | pain points | buying triggers | value realized | key quotes). It prints Pattern Analysis with exact frequencies (for example, in 1 of 2 interviews (50%)), Key Quotes, ICP Refinements from Interviews, Discovery Questions to Add, and an Interview Template for Next Round. Under Value Realized (Post-Purchase), it warns you to treat reported outcomes as claims to verify with source, scope, and date before leading with them in public copy.
Come back after every new batch of 3 to 5 customer or win/loss interviews, append the new pipe-separated notes to your list, and re-run the synthesizer to see which pain points and triggers rise to the top. 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 ICP Intelligence 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 ICP Intelligence's ICP Interview Synthesizer tool. interview notes: a manufacturing company (role Finance Controller, pain points Slow month-end close, Manual reconciliation, buying triggers New CFO hire, value realized Close 5 days faster, key quotes We spent the first week of every month matching card spends by hand); an IT services company (role Head of Accounts Payable, pain points Late expense claims, Policy breaches, buying triggers Audit finding, value realized Fewer policy breaches, key quotes Half my team's week went on chasing receipts). 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 ICP Intelligence 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.
MCP tool name: icp_interview_synthesizer. REST: POST https://icp-intelligence.gtmhelix.com/api/tools/icp_interview_synthesizer with this JSON body (see How it works):
{
"input": {
"interview_notes": [
{
"customer": "a manufacturing company",
"role": "Finance Controller",
"pain_points": [
"Slow month-end close",
"Manual reconciliation"
],
"buying_triggers": [
"New CFO hire"
],
"value_realized": [
"Close 5 days faster"
],
"key_quotes": [
"We spent the first week of every month matching card spends by hand."
]
},
{
"customer": "an IT services company",
"role": "Head of Accounts Payable",
"pain_points": [
"Late expense claims",
"Policy breaches"
],
"buying_triggers": [
"Audit finding"
],
"value_realized": [
"Fewer policy breaches"
],
"key_quotes": [
"Half my team's week went on chasing receipts."
]
}
]
}
}
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