Feature · Pipeline Deals

Every pipeline deal gets a record the rep actually works from.

The single-deal surface in Strkr: core fields, activity timeline, product line items, team roster, forecast context, next-step enforcement, and the audit trail that holds up to compliance review.

What makes a deal record useful

Six properties every deal record should carry.

A deal record is where the sales rep spends most of the working day. The six properties below are what separates a deal record the rep actually uses from one that becomes a weekly data-entry chore. Each property is a design choice; the shortfall on any one of them is the common reason reps abandon the CRM for a spreadsheet.

Dense but readable

Everything the rep needs in one surface.

The deal record carries the core fields (name, amount, stage, close date, probability, owner), the activity timeline, the contact roster, the product line items, and the forecast context in a surface the rep can scan in 30 seconds. Dense without being cluttered; the hierarchy makes the important fields pop.

Activity-first timeline

The timeline reads chronologically.

The activity timeline reads chronologically with the most recent at the top: calls (with recording and summary), emails, meetings, notes, field changes, stage transitions, task completions. The rep opens the deal and reads the timeline to catch up before any customer touch.

Next step always visible

The scheduled next action pops.

The scheduled next action is visible at the top of the deal record. The rep opens the deal and sees what they committed to do and when. Deals without a scheduled next action get flagged, which drives the next-step discipline that compounds pipeline acceleration.

Team roster

Every participant has a role.

The team roster carries the owner (AE), the supporting roles (SDR, SE, deal desk, legal, success manager), and the external participants (champion, economic buyer, technical buyer, blocker). The record shows the full team at a glance so the rep knows who is engaged on the deal.

Product line items

The quote lives on the deal.

The product line items (SKUs, quantities, unit prices, discounts, term) live on the deal record as structured data. The deal amount computes from the line items rather than being free-typed. The quote-to-close workflow runs against the structured data for approval routing, invoice generation, and renewal tracking.

Audit trail inline

Every change captured and visible.

Every field change on the deal lands in the audit trail inline on the record. The rep sees who changed the close date, when, and from what to what. Compliance reviews walk the record audit without pulling a separate report. The transparency builds team trust in the pipeline numbers.

The core fields every deal carries

Six fields that drive the pipeline math.

The core fields on a deal record are small in number but each one feeds a operational decision. The six below are the ones Strkr customers consistently keep required; adding more required fields typically backfires with reps leaving them blank or filling them with garbage.

Amount

The expected contract value.

The deal amount is the expected contract value computed from the line items. For an annual recurring motion the amount is annual contract value (ACV); for a one-time motion the amount is total contract value (TCV). The field feeds pipeline coverage, win-rate math, and forecast weighting; getting it clean matters.

Stage

The deal lifecycle position.

The stage reflects where the deal is in the pipeline lifecycle (Prospecting, Discovery, Proposal, Negotiation, Closed-Won, Closed-Lost). The stage transitions follow the defined entry and exit criteria; stage change triggers downstream automation and reporting.

Close date

The expected close for the current forecast.

The close date is the current expected close for the deal, updated as the deal moves. Close dates in the current forecast period roll into the forecast; dates that slip across periods move the deal in and out of the Commit math. The field discipline (realistic dates, updated proactively) matters for forecast quality.

Probability

The rep confidence in close.

The probability captures the rep confidence in the deal closing in the forecast period. The stage default anchors the probability (Discovery 20 percent, Negotiation 70 percent), but the rep can override on a deal. The weighted pipeline value multiplies amount by probability.

Owner

The single accountable AE.

The owner is the single accountable AE for the deal. Supporting roles attach to the team roster but the owner is unambiguous. Ownership drives the comp calculation and the manager coaching assignment. Changes to the owner require manager approval under the standard permission model.

Account

The customer the deal is with.

The account is the customer the deal is with. Every deal rolls up to exactly one account; the account carries the ongoing relationship (contacts, past deals, support history, product usage). The account roll-up gives the rep and manager the full customer picture across pursuits.

The activity timeline done right

Six activity types the deal timeline should carry.

The activity timeline is the heart of the deal record. The six activity types below are what Strkr captures natively on every deal. The combination lets the rep catch up on any deal in a minute before a customer touch rather than scrolling through tabs and separate systems.

Call activity

Recording, summary, action items.

Every call made through the Strkr dialer attaches to the deal timeline with the recording, the AI-generated summary, the extracted action items, and the sentiment signals. The rep reads the summary to catch up on the last call; the manager reviews the recording for coaching.

Email activity

Full thread with the right contact.

Email threads sync to the deal timeline through the Gmail or Microsoft 365 connector with the full thread, the right contact association, and the open and reply status. The rep sees the email history inline without alt-tabbing to the inbox.

Meeting activity

Calendar event with attendees and notes.

Meetings sync from the calendar connector with the attendees, the meeting notes, and (when available) the recording summary. The deal timeline shows the meeting cadence; a deal with no meeting in 14 days surfaces as aging on the manager dashboard.

Note activity

Free-text and structured notes.

Notes capture the free-text thinking: competitive intel, buyer-committee dynamics, specific concerns, strategy adjustments. Notes support structured templates (BANT, MEDDPICC, Challenger) for teams that run a qualification framework; the structured notes feed reporting on qualification completeness.

Field change log

Every edit visible with context.

Every field change on the deal lands in the timeline with the actor, the timestamp, the old value, and the new value. The rep sees who moved the close date and why; the manager audits the stage transitions. The field change log is the compliance-grade record of deal history.

Task activity

Scheduled, completed, and overdue.

Tasks spawn automatically on stage changes and manually on specific needs. The timeline shows task creation, completion, and overdue status. The task density per deal is a leading indicator of deal health; dense activity typically correlates with higher close rates.

What Strkr delivers on the deal record

Six capabilities that make the Strkr deal fit real work.

Strkr builds the deal record for the rep who spends the working day in it. The six capabilities below are the ones RevOps leads and sales managers call out as the differentiators. All six ship as default behavior inside the standard Strkr seat.

Configurable layout

Field groups and visibility per team.

The deal record layout is configurable per team through the Layouts feature: field groups, section ordering, related-list placement, per-field visibility and required state. Enterprise reps see the enterprise fields; SMB reps see a leaner surface. The configuration ships without engineering.

Playbook rendering

Stage guidance appears inline.

Stage playbooks render inline on the deal when the deal is in the stage. The rep sees the stage checklist, the discovery questions, the proposal template, the negotiation framework. Enablement runs in flow with the deal rather than in a separate training session once a quarter.

AI summarization

Strkr AI reads the timeline for the rep.

Strkr AI reads the deal timeline and produces a one-paragraph summary of where the deal stands: last activity, outstanding commitments, buyer-committee signals, recommended next steps. The rep uses the summary as the starting point before a customer touch rather than reading the full timeline from scratch.

Related lists

Products, contacts, tasks, approvals inline.

The deal record surfaces the related lists inline: product line items, deal contacts, open tasks, pending approvals, change orders (for construction and services), attachments. The rep works all the related records without leaving the deal surface.

Approvals surface

Pending approvals visible with context.

When the deal requires approval (discount above threshold, non-standard terms, bundle outside catalog), the pending approval renders inline on the deal with the current approver, the SLA remaining, and the full context. The rep sees the approval status without a separate query to deal desk.

Mobile parity

The deal record works on the phone.

The deal record renders cleanly on mobile with the same timeline, same fields, same actions, same approval surface. Reps on the road or in the car between meetings work the deal from the phone without a stripped-down mobile experience that misses the fields they need.

The deal record is where the sales motion lives.

Strkr builds the deal record for the rep who works out of it. Configurable layouts, inline playbooks, AI summarization, approval surfacing, mobile parity, and the audit trail compliance needs. Start a trial and the first deals load with your real data on day one.

Common questions

What buyers ask about this feature.

What is a pipeline deal and what should the record carry?

A pipeline deal is a sales pursuit tracked through the pipeline from qualification to close. The deal record should carry six core property areas: the core fields (name, amount, stage, close date, probability, owner, account) that drive the pipeline math; the activity timeline that lets the rep catch up on any deal in a minute; the scheduled next action that drives next-step discipline; the team roster of internal and external participants; the product line items that compute the deal amount from structured data; and the audit trail that captures every field change for compliance and transparency. A record missing any of these areas typically becomes a chore the reps abandon for a shadow spreadsheet.

What are the required fields on a deal record?

The honest short list is amount, stage, close date, owner, and account. Making more than those required typically backfires: reps leave the required fields blank or fill them with garbage to get past the required check. Additional fields can be stage-gated required (required to advance to Negotiation, not required to create the deal) through the entry and exit criteria mechanism. This pattern makes the data clean at the stages where it matters without blocking deal creation on fields that cannot be known in the early stages. Probability is often computed from the stage default rather than required; the rep overrides on specific deals.

How does the activity timeline capture everything?

The timeline captures six activity types natively. Calls made through the Strkr dialer attach with the recording, AI-generated summary, extracted action items, and sentiment signals. Email threads sync through the Gmail or Microsoft 365 connector with the full thread and reply status. Meetings sync from the calendar connector with attendees and notes. Notes support free-text and structured templates (BANT, MEDDPICC, Challenger). Field changes land in the timeline with actor, timestamp, old value, and new value. Tasks spawn automatically and manually with creation, completion, and overdue status. The six types together give the rep a complete deal history inline on the record without alt-tabbing to the inbox, the calendar, the dialer product, or a separate activity log.

Can the deal record be customized per team?

Yes. The Layouts feature lets a RevOps lead configure the deal record per team: field groups, section ordering, related-list placement, per-field visibility, per-field required state. Enterprise teams see the enterprise fields (contract term, legal review status, security questionnaire, delivery method); SMB teams see a leaner surface. The layout respects the user role; a role can see additional fields the broader team does not. The configuration ships through the Layouts admin surface without engineering. Field-level permissions and conditional-render rules ship in the Layouts Phase 1 feature set.

How does Strkr AI help on the deal record?

Strkr AI reads the deal timeline and produces a one-paragraph summary of where the deal stands: last activity, outstanding commitments from the rep and the buyer, buyer-committee signals surfaced from recent calls and emails, and recommended next steps. The rep uses the summary as the starting point before a customer touch rather than reading the full timeline from scratch; the time saved compounds across every deal in the pipeline. The AI also surfaces risk signals (deal is aging, no decision maker identified, non-standard discount pending approval, competitive pressure mentioned in recent calls) that the rep might otherwise miss. The summary and signals update in real time as new activity lands.

What happens to the deal record after a deal closes?

The deal record persists indefinitely after close. Closed-won deals continue to show on the account record as part of the ongoing customer history; the record feeds the renewal pipeline, the cross-sell motion, and the expansion forecasting. Closed-lost deals also persist with the lost reason code; the lost-deal history feeds the quarterly review and the competitive intel. The audit trail on both continues to carry every change, which satisfies the compliance retention requirement. For teams that run product line items with recurring revenue (annual contracts, multi-year deals), the deal record feeds the renewal workflow automatically through a Strkr Flow that spawns the renewal pursuit at the right lead time before the contract end date.

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