---
title: Reporting should answer questions, not start arguments | Midwest RevTech
description: Get clear on definitions, data quality, and the decisions your reporting needs to support. Then build views the team can trust.
---

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HubSpot Solutions Partner • Fractional RevOps • Based in Indiana, helping teams everywhereBring us the weird software problem.

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Problems we solve

# Reporting should answer questions, not start arguments.

Get clear on definitions, data quality, and the decisions your reporting needs to support. Then build views the team can trust.

[Overview](https://www.midwestrevtech.com/problems) [Follow-up](https://www.midwestrevtech.com/problems/follow-up) [Reporting](https://www.midwestrevtech.com/problems/reporting) [Connected tools](https://www.midwestrevtech.com/problems/connected-tools) [Website](https://www.midwestrevtech.com/problems/website) [HubSpot](https://www.midwestrevtech.com/problems/hubspot) [Ownership](https://www.midwestrevtech.com/problems/ownership)

02

Reporting

## “Nobody trusts the numbers.”

You open one dashboard. Someone else opens a spreadsheet. Both say “revenue,” and the numbers are different. Now the meeting is about whose report is right instead of what the business should do.

### Why the numbers stop lining up

Reporting trouble often starts with definitions. Is revenue a closed deal, a signed contract, an invoice, or a payment? Is a new customer counted by close date or start date? Are renewals and new business mixed together? Two accurate reports can disagree when they answer different questions.

Then there is the data itself. Required fields may be empty. Deal stages may describe rep optimism instead of a buyer milestone. Contacts and companies may be associated inconsistently. One integration may overwrite a source field while another preserves it. Over time, the dashboard becomes the place where all those upstream decisions collide.

### What this costs your team

Leaders hesitate because they do not trust the signal. Someone rebuilds the same spreadsheet every week. Sales and marketing defend their own numbers. The forecast becomes a conversation about gut feel, and the team cannot tell whether a change actually improved anything.

### How we scope the reporting work

We start with the decisions you need to make. “Build better dashboards” is a pretty big request. “Show which leads turn into customers, where deals stall, and what next quarter might look like” gives us something useful to design.

- Which three to five decisions should the reporting support?
- What does each metric mean, and who owns that definition?
- Which system is authoritative for each number?
- Which dates, associations, filters, and exclusions affect the result?
- Can we trace a sample total back to the underlying records?

We compare a small set of records across the CRM and other relevant systems. That helps separate a dashboard configuration issue from a data-quality, integration, or process issue.

### What a solution could look like

We create shared metric definitions, repair the fields and associations that support them, and build reporting around agreed business questions. That could include pipeline health, stage conversion, source performance, customer handoffs, or a more defensible forecast.

For attribution, we explain what the available data can support. We can improve source capture and connect meaningful touchpoints, but we do not pretend a model proves every reason a customer bought. A useful report should make its assumptions visible.

The deliverables may include a metric dictionary, cleanup rules, validation checks, dashboards, and a short explanation of how each view should be used. We test totals against sample records and agree on who maintains the inputs.

### A practical example

**Illustrative scenario:** a leadership team has three versions of “new business.” We agree that one view measures signed new-customer deals, another measures invoiced revenue, and a third measures cash collected. We connect the relevant records and label each view clearly. The reports can now differ for a good reason without starting an argument.

### What better looks like

The meeting starts with a business question. The team knows which report answers it, what its limitations are, and where the number comes from. Exceptions have an owner. Reporting becomes something you use to make a decision instead of something you have to defend.

Nate explores the shared goal behind this work in [his article on leadership, marketing, sales, and RevOps alignment](https://www.midwestrevtech.com/blog/what-is-the-one-most-important-goal-for-leadership-marketing-and-sales-to-have-revops-alignment).

?

### One source of truth. Zero spreadsheet theater.

- Data cleanup and governance
- Attribution and KPI design
- Executive and team dashboards

[Make the numbers trustworthy →](https://www.midwestrevtech.com/data-reporting)[Talk through your version →](https://www.midwestrevtech.com/contact)

[← Overview](https://www.midwestrevtech.com/problems)

How we diagnose

## The software is rarely the whole story.

A lasting fix connects four layers. Ignoring one usually moves the problem somewhere else.

People

**Roles, skills, adoption, incentives, and ownership**

Process

**Stages, handoffs, decisions, exceptions, and service levels**

Data

**Definitions, fields, sources, quality, access, and governance**

Technology

**Configuration, integration, automation, usability, and monitoring**

Bring the weird version

## What keeps breaking, slipping, or starting arguments?

You do not need a requirements document. Start with what the team experiences and what you wish happened instead.

[Describe the problem →](https://www.midwestrevtech.com/contact)

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