Sales · Analyze & Recommend
Win/loss patterns from every deal, built from real data.
Every closed-won and closed-lost deal is analyzed across all call transcripts, CRM fields, and timelines to reveal the patterns that determine outcomes. No more quarterly guesswork.
Works acrossSalesforceGongNotion
What you get.
A complete win/loss report lands each quarter, built from every Gong transcript and Salesforce record, not a survey sample. The factors that actually separate wins from losses (discovery depth, stakeholder coverage, competitive positioning) Doe identifies and publishes without consultants or manual analysis.
Your win/loss analysis is a fiction.
Once a quarter, someone in RevOps exports a Salesforce report of closed deals. They look at the "Closed Lost Reason" picklist, the one reps fill out with one word because they're already focused on the next deal. "Price." "Timing." "Went with competitor." That's not analysis. That's a multiple-choice test filled out by someone who already moved on.
The real story is buried in the call recordings. The discovery call where the prospect mentioned a blocker that nobody followed up on. The demo where the SE spent 30 minutes on features the buyer didn't care about. The negotiation where you dropped price but the real issue was implementation timeline. All of that context exists in your Gong recordings, but nobody has time to re-listen to 200 calls and cross-reference them with outcomes.
What changes.
- 01Data source for analysisBefore · CRM picklist fields ("Price", "Timing")With Doe · Full call transcripts, CRM history, email threads
- 02Deals analyzedBefore · 10-20% sample (whoever responds to survey)With Doe · Every closed deal analyzed, 100% coverage
- 03Insight depthBefore · High-level themesWith Doe · Per-rep, per-competitor, per-objection breakdown
- 04FrequencyBefore · Quarterly if someone remembersWith Doe · Monthly or quarterly, fully automated
How Doe analyzes your win/loss patterns
- 01Pulls every closed deal with full stage history and metadataSalesforceWon and lost deals captured with timeline, deal size, stage progression, and close reason for the period
- 02Reads transcripts across all closed deals for patternsGongDoe flagged recurring objection themes, competitor mentions in 40% of losses, and a sentiment drop pattern in late-stage deals
- 03Isolates the factors that separate wins from lossesDoeDoe found that discovery depth and multi-stakeholder coverage were the strongest predictors of closed-won outcomes
- 04Writes the full report with themes and coaching recommendationsNotionDoe produced a report with key themes, rep-level comparisons, and a competitive breakdown
- 05Publishes team-specific sections for sales, product, and marketingNotionDoe shipped a Notion page so each team gets the insights relevant to their function
- 06RecurringFirst Monday of each quarterAt the start of each quarter, all deals closed in the prior period are analyzed, a full win/loss report is generated, and it's published to your team's Notion workspace. No manual trigger needed. Report published in Notion and linked in Slack.
Up and running in under ten minutes.
- 01Connect your toolsOne-click OAuth for each integration. No API keys, no engineering.
- 02Describe what you need“On the first Monday of each quarter, analyze every closed-won and closed-lost deal from last quarter. Break down win rate by segment, flag the top three loss reasons from call transcripts, and format it as an exec-ready slide deck.”
- 03It runs on scheduleGenerates a full win/loss report on the first Monday of each quarter.
Before you delegate.
- 01How is this different from Gong's built-in analytics?Gong excels at call-level metrics: talk ratios, question rates, topic frequency. Doe goes further by reading transcripts against CRM data, stage history, and deal outcomes to identify why those patterns matter. For example, Doe surfaces correlations like "enterprise deals with 3+ stakeholder calls close at 2x the rate of single-contact deals." Gong is for coaching individual reps. Doe is for understanding deal-level patterns across your pipeline.
- 02Can Doe analyze deals from before we set it up?Yes, if the historical data exists in your connected tools. Doe can analyze past Gong recordings and CRM records going back as far as your systems retain them. Older deals may have sparser data (fewer call recordings, less CRM detail), so the analysis will be lighter. Doe flags when data is too thin to draw conclusions.
- 03Does the report break down by rep?Yes. The report includes team-level patterns and individual rep comparisons: win rates by stage, discovery question quality, objection handling patterns. This makes it directly useful for sales enablement and coaching. All data is presented constructively, focused on improvement.
- 04How does Doe identify competitor-related losses?Call transcripts are scanned for competitor mentions, tracking how frequently each competitor appears across lost deals. The context is analyzed (whether the competitor was mentioned positively, as a blocker, or in pricing comparisons) and then correlated with deal outcomes to reveal which competitors cost you deals and why.
- 05Can I run win/loss analysis monthly instead of quarterly?Yes. You configure the frequency. Monthly analysis works well for high-velocity sales teams with enough closed deals to identify patterns. For enterprise teams with longer cycles, quarterly is typically more meaningful. Doe adjusts the sample size and statistical confidence accordingly.