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Reference

Feature Overview: Foresight

Foresight

Foresight is Enki IQ's way of telling you which accounts are about to need what you sell, before they ask. A foresight is a strategic thesis about a buyer's pain — grounded in evidence, dated to a timing window, and packaged with the playbook to pursue it. This article covers what a foresight contains, the signals that feed one, and how the Foresight Dashboard and Detail surfaces work.

The shape of a foresight

Each foresight is a written thesis about a specific pain at a specific account. Around the thesis sits a structured set of fields you can act on: a Pain Lifecycle stage, an Evidence list with source URLs you can verify, a Confidence level and score that tells you how strongly Enki IQ stands behind the thesis, a Timing Window describing when the moment to engage is most likely, and a Pursuit Playbook with everything you'd want before reaching out.

The Pain Lifecycle is a five-stage progression: latent (the pain is real but the buyer doesn't yet feel it), emerging (the buyer is starting to notice), forming (the buyer is articulating it internally), acute (the buyer is actively shopping for a fix), and crisis (the buyer needs to move now). The stage transitions are tracked over time so you can see how a foresight has moved.

The Pursuit Playbook is broken into five sub-sections: a Stakeholder Map of who matters in the deal, a Narrative Framework for the story you tell, Trigger Events that have already happened or are about to, an Engagement Timeline that sequences the outreach, and Competitive Positioning that names the alternatives and how to outflank them.

The Timing Window has an optimal start date, an optimal end date, an urgency level (low, medium, high, or critical), and a one-paragraph reasoning explaining why now. A high-urgency window with a tight optimal range is the strongest call to action a foresight produces.

The signals Enki IQ watches for

A foresight is grounded in evidence, and the evidence is typed. Each piece of evidence belongs to one of several signal categories:

  • Financial signals — earnings movement, funding events, public filings, capital allocation shifts.

  • Hiring signals — patterns in job postings and headcount changes that imply a new initiative or capability gap.

  • Tech signals — adoption or deprecation of platforms, infrastructure changes, technology choices made or unmade.

  • Market signals — competitive moves, category-level shifts, customer wins and losses observable in the market.

  • Leadership signals — executive hires, departures, and tenure changes that change who's in the buying committee.

  • Competitive signals — explicit competitor activity at the account: incumbencies, evaluations, displacements.

  • Regulatory signals — new rules, enforcement actions, or compliance deadlines that force a buying decision.

  • Call intelligence — anything captured directly from your own meetings that supports or invalidates a thesis.

Each piece of evidence carries a signal strength (weak, moderate, or strong), a relevance score, and the source URL. Strong evidence weighs more heavily in the confidence score; weak evidence is shown for context but flagged as such.

The Foresight Dashboard

The Foresight Dashboard is the entry point: a grid or list of every active foresight across your territory. You can filter by account, by pain lifecycle stage, by urgency, and by status. The header gives you a way to generate a new foresight against an account of your choice, which kicks off a background job.

Every card on the dashboard shows a thumbnail of the foresight: the account, the thesis title, the current pain stage, the urgency, and the confidence. Click into a card to open the Foresight Detail page.

The Foresight Detail page

The detail page is where you work a single foresight. The page shows the Thesis panel up top with the full written argument, the Pain Lifecycle visualizer with the current stage highlighted and history visible on hover, the Evidence panel with every supporting datapoint and its source URL, the Pursuit Playbook expanded into its five sub-sections, and the Confidence panel breaking down how the score was reached.

From the detail page you can change the pain stage manually (Enki IQ logs the transition with your reason), archive the foresight, regenerate the playbook if circumstances have changed, convert the foresight directly into an opportunity in your pipeline, or export the entire foresight as a PDF. For the workflow of converting a foresight into an opportunity — when to do it, what context carries over, and how to sequence the outreach — see "Using Foresight signals" in best practices.

Foresights count against your monthly Foresight quota.

Under the hood

Foresight generation runs as a background job. Gemini does the grounding research — pulling the financial filings, scanning the hiring boards, watching the market — and Claude writes the thesis and the playbook on top of the synthesized evidence. Each piece of evidence is stored with its source URL and a relevance score so you can audit any claim. Pain-stage transitions are tracked in a history log so the lifecycle visualizer can show movement over time.

Related reading

For when to act on a foresight versus when to wait, see "Using Foresight signals" in best practices. For how a foresight becomes a tracked opportunity, see "Converting a foresight to an opportunity" in best practices.