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Deals to work this week

Answers which open deals need attention now using weighted forecast and risk or engagement scores on active pipeline.

Authored by Sid Chaudhary

Founder & CEO at Intempt

Agentic workflow

Coming soon

1 step Blu runs end to end. It drafts a plan and nothing runs until you approve it.

  1. 1

    Build the pipeline board

    Coming soon

    Blu builds a step

About this recipe

When to use it

Open pipeline reviews often miss multi-threading risk and engagement drop-off until a deal has already stalled. This surfaces both directly, alongside deal velocity. See AI sales machine reviews for how this compares to dedicated sales tech.

What it delivers

Tracks open pipeline, deal velocity, multi-threading risk, and account engagement on active deals for the AE / Sales Manager operational view.

How you prompt this

Describe the outcome in your own words and Blu Agent maps it to this recipe, or run it by name. It drafts a plan first and nothing runs until you approve it.

Tell Blu Agent what you want

“Answers which open deals need attention now using weighted forecast and risk or engagement scores on active pipeline.”

recipe.md preview

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Inputs & outputs

What the recipe needs before it runs, and what it leaves in your workspace.

Inputs

  1. Nothing declared beyond an Intempt workspace. Blu asks for anything else it needs as it goes.

Outputs

    How the recipe runs

    Blu follows the steps in order and shows you each one before anything goes live.

    1. 01Build the pipeline boardCreate a Dash board (12-column composition canvas) titled "Sales Pipeline". Persona: Account Executive or Sales Manager. Question answered: "What deals do I work this week?": current-state operational view, this-quarter horizon, per-deal/per-rep granularity. This dashboard is intentionally distinct from the Revenue Operations Dashboard. Sales Pipeline is operational (deals to work now); Revenue Operations is strategic (GTM trends and health). Board-level configuration: - defaultDateRange: last_30_days (rolling, since open deals are point-in-time) - exclusionPeriod: none - visibility: project - boardFilters: none by default (each card scopes its own population per recipe definition) - boardBreakdowns: owner_id (rep): pushed down so each card decomposes by rep where applicable Layout: 4 rows. Row 1: Operational KPIs (heightPx: 200, four metric cards at widthUnits: 3): - Card 1: Insights metric to source recipe: pipeline-value-snapshot, vizType: metric, titleOverride: "Open Pipeline Value" - Card 2: Insights metric to source recipe: multi-threading-coverage-by-deal, vizType: metric, titleOverride: "Single-threaded Deals" - Card 3: Insights metric to source recipe: accounts-at-risk-count, vizType: metric, titleOverride: "Accounts at Risk" - Card 4: Insights metric to source recipe: deal-velocity-by-stage, vizType: metric, titleOverride: "Median Sales Cycle (days)" Row 2: Deal health (heightPx: 440, two cards at widthUnits: 6): - Card 1: Insights to source recipe: deal-velocity-by-stage, displayMode: chart, vizType: bar (horizontal bar per stage with median time-in-stage) - Card 2: Insights to source recipe: multi-threading-coverage-by-deal, displayMode: chart, vizType: stacked_bar (threading distribution per stage) Row 3: Account-level intelligence (heightPx: 400, full-width single card at widthUnits: 12): - Card 1: Insights to source recipe: account-engagement-score-trend, displayMode: table (top 30 accounts ranked by current engagement, with trend sparkline; sortable by week-over-week change) Row 4: Behavioral signals (heightPx: 400, two cards at widthUnits: 6): - Card 1: Funnel to source recipe: lead-customer-sales, displayMode: chart, vizType: funnel_steps (high-level pipeline progression) - Card 2: Insights to source recipe: pipeline-value-snapshot, displayMode: chart, vizType: bar (full pipeline-value-by-stage view from the recipe) Annotations: - Row 1's four KPIs are the daily-check numbers: what's in pipeline, what's at risk (single-threaded), what accounts need saving, and how fast we move. - Row 3 (the full-width account table) is the key actionable artifact: sorted by week-over-week engagement change, it surfaces both expansion candidates (rising) and churn-risk accounts (falling). Taxonomy notes: - All source recipes use canonical Intempt events: Deal stage changed, Deal won, Deal lost, Deal created, Meeting scheduled, Session start, Click on, Ticket created. - pipeline-value-snapshot includes weighted-forecast computation (each deal's amount × historical close-rate of its current stage).

    Install Intempt and run it

    1. 1

      Sign up

      Create a free Intempt workspace.

    2. 2

      Connect your data

      Add the sources this recipe reads from.

    3. 3

      Ask Blu

      Type /sales-pipeline-dashboard in Blu once this recipe is live there.

    4. 4

      Review and approve

      Blu builds each step and waits for your OK before anything goes live.

    More recipes by Sid Chaudhary

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