25 Questions Every Sales Leader Should Be Able to Ask Their Data
Sales reviews go wrong in a predictable way: the question is simple, the answer takes a day, and by the time it arrives the meeting is over. These twenty-five questions are the ones sales leaders ask most often, grouped by the decision they feed. Each group ends with the definition that most often makes the answer unreliable.
Trinetro Labs · Published 2 October 2026 · 2 min read
Pipeline
- How much open pipeline do we have, and how much of it is likely to close this quarter?
- How many new opportunities were created this month compared with last month?
- Which stage do deals stall in the longest?
- What is the average age of open deals by stage?
- Which deals have had no activity in 14 days?
Performance
- Who is above and below quota this quarter?
- What is each rep's win rate, and how does it vary by deal size?
- How long is our average sales cycle, and how has it changed?
- What is the average deal size by rep and by region?
- How many calls or meetings does it take to win a deal?
Customers
- Which customers account for the top 20% of revenue?
- Which customers have shrunk their spend compared with last year?
- How many customers bought for the first time this quarter?
- What share of revenue is from existing customers?
- Which customers have not been contacted in 60 days?
Products and territory
- Which products or plans sell best in each region?
- Which regions are growing fastest, and which are flat?
- Where are discounts highest, and do they correlate with win rate?
- Which products are often sold together?
- Which lead sources produce the deals that actually close?
Making the answers dependable
- Write down each definition once, and use it everywhere.
- Ask the same question twice in different weeks and confirm the method is the same.
- Keep a trace. When a number is challenged in a review, you should be able to show how it was produced.
Trinetro lets a sales leader ask these questions directly, in plain English, on the live data, and remembers the definitions your team confirms so the answer stays the same from week to week. See how team memory works.
Frequently asked questions
What data should a sales leader look at every week?
Open pipeline and its age by stage, new opportunities created, win rate, average deal size and sales cycle, and the customers whose spend is changing. The questions above cover all of those.
How do I stop two people reporting different pipeline numbers?
Agree one definition for each term, such as what counts as open and what counts as likely to close, and use a tool that applies the same definitions for everyone.
Can I ask these questions without a data analyst?
Yes, with a plain-English analysis tool connected to your CRM or database. You still need to confirm definitions once.
Which sources does Trinetro connect to for sales data?
Databases such as MySQL and PostgreSQL, spreadsheets, and apps including Zoho, Shopify and Razorpay. Over fifty sources in total.