Salesforce Diagnostics

Find out what’s actually failing before you spend more fixing the wrong thing.

You don’t need to know which engagement you need. Start with the Salesforce problem creating the most pressure. We trace it back to the business outcome, what it depends on, and the evidence that shows what deserves attention first. Start with the problem. Follow the evidence.

Salesforce Consulting Partner · 15+ years in Salesforce · Diagnosis before prescription
9,000+
duplicate records resolved in under 2 weeks
FROM SYMPTOM TO DECISION

Most Salesforce problems don’t arrive as clean tickets. They show up as symptoms.

Those symptoms matter. But they are not yet a diagnosis. We turn them into evidence-backed findings that show what’s happening, why it matters, what needs attention first, and what can wait.

What teams experience
  • “The dashboard is wrong.”
  • “This field keeps changing.”
  • “Nobody knows what automation is firing.”
  • “We can’t trust the data.”
  • “Users aren’t really using Salesforce.”
  • “Our admin is afraid to touch anything.”
What the diagnosis clarifies
  • What is actually happening
  • What evidence supports that conclusion
  • Which business outcome is being affected
  • What needs attention first
  • What can safely wait
  • What leadership needs to decide

Use this starting point when one Salesforce issue is creating confusion, risk, or operational friction and nobody can explain why. We start with the symptom, trace the relevant dependencies, and separate the visible problem from the underlying cause before recommending what should happen next.

What we review

We look at the parts of Salesforce involved, what depends on them, what changed, and how the surrounding business process works so we can identify the real cause.

What you receive
  • A clear explanation of what is happening
  • The most likely cause, supported by evidence
  • The business risk it creates
  • What needs attention now - and what can wait
  • A practical next-step recommendation
Talk through the issue →

Start here when Salesforce numbers are routinely challenged, reconciled elsewhere, or interpreted differently across teams. We trace the disputed data and reporting back through definitions, ownership, automation, integrations, and business process to understand where trust is actually breaking down.

What we review

We review the numbers people rely on, how they are defined, where they come from, who owns them, and where process or system differences are causing teams to question the numbers.

What you receive
  • A clear picture of where trust is breaking down
  • The most likely causes, supported by evidence
  • Which reports, data, or definitions are affected
  • The business decisions and workflows at risk
  • What needs attention first - and what can wait
  • A practical path to restore confidence
Talk through the trust problem →

Start here when teams are afraid to change automation, unexpected updates keep happening, or nobody can explain what will break if one rule is retired. We trace the automation, dependencies, ownership, and business process behind it to separate real risk from ordinary Salesforce clutter.

What we review

We look at the rules and automation running behind the scenes, how they affect one another, who owns them, and where hidden dependencies could create risk for the business.

What you receive
  • A clear understanding of the automation affecting the process
  • Key dependencies and areas of overlap
  • High-risk conflicts and failure points
  • Candidates for simplification, retirement, or consolidation
  • A safer sequence for testing and change
  • A practical path forward
Talk through the automation problem →

Start here when Salesforce has accumulated years of changes and nobody has a confident picture of what still matters. We focus on the areas connected to your next priority, separate active risk from harmless history, and identify where deeper investigation is actually warranted.

What we review

We look at how Salesforce supports the parts of the business that matter most: the data people trust, the processes and automation behind it, who owns what, how systems connect, and where hidden dependencies could create risk.

What you receive
  • A clear picture of where complexity is concentrated
  • The highest-risk dependencies and failure points
  • Areas that are safe to leave alone
  • Candidates for simplification or retirement
  • Change-readiness risks tied to your current priorities
  • A prioritized next-step plan
Talk through the complexity →

Start here when leadership has an AI use case in mind but the path from demo to dependable business value is unclear. We define what the AI is supposed to improve, identify the information and workflow it depends on, and separate true blockers from risks, useful improvements, and unrelated Salesforce clutter.

What we review

We look at the outcome you want AI to improve, the work it is expected to do, the information and business context it needs, where that context actually lives, who owns the process, what AI may see or change, and what happens if it gets something wrong.

What you receive
  • A clear definition of the AI use case and intended business outcome
  • The Salesforce and business dependencies the use case relies on
  • True blockers and material risks - separated from ordinary cleanup
  • The minimum level of readiness needed to move forward responsibly
  • Recommended human review, ownership, and governance
  • A practical next move - pilot, remediate, rethink, or proceed
Talk through the AI use case →
HOW THE WORK ACTUALLY HAPPENS

Understand the problem. Fix the right thing. Make sure it works.

Step 01

Define what needs to change

We start with what people are experiencing and the business outcome that needs to improve. Together, we get specific about the problem before anyone starts prescribing solutions.

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Step 02

Understand the current reality

We trace how the work actually happens today: the people, process, information, Salesforce, and workarounds involved, so we understand what the outcome really depends on.

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Step 03

Find the root cause

We test the likely explanations against what the business is experiencing and what the system is showing. Then we separate symptoms from causes and determine what actually deserves attention.

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Step 04

Implement the right improvement

Once we know what is causing the problem, we design and implement the smallest responsible change: fix, simplify, retire, redesign, automate, or pilot. We work alongside your team so the solution fits how the business actually operates.

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Step 05

Validate the improvement

We confirm the change is producing the intended outcome, look for unintended consequences, and adjust where needed. The work isn’t finished just because something was deployed.

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Step 06

Empower the team to own it

We involve the people who use and support the solution, gather their feedback, explain what changed and why, and make sure they understand the new way of working. The goal is a solution your team can confidently use, support, and improve after we leave.

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Who this works best for

Teams willing to investigate the problem together before committing to a solution.

  • You know something isn’t working - but you’re willing to understand why before deciding how to fix it.
  • Different teams are seeing different versions of the problem, and you need evidence everyone can work from.
  • A significant Salesforce or AI decision is ahead, and you want to understand the dependencies, risks, and tradeoffs before committing.
  • You want a partner who can diagnose the issue, implement the right improvements, and help your team confidently own what comes next.

Probably not the right fit if

You mainly need someone to execute a predetermined answer.

  • You mainly want a backlog implemented as written, without revisiting whether it solves the underlying business problem.
  • The solution has already been decided, and you’re primarily looking for someone to confirm it.
  • You need a quick opinion without giving us enough access or context to investigate the evidence.
  • You want the work completed with minimal involvement from the people who will ultimately use, support, or own it.
Frequently asked questions

Questions I’d ask, too.

Will you actually talk to the reps who say Salesforce sucks?

Absolutely. They’re often some of the first people I want to hear from. Frustrated users will usually explain exactly where the process breaks, what Salesforce makes harder, what workarounds they’ve created, and how it affects their day-to-day work. I don’t assume their explanation of the root cause is automatically right, but I take the pain seriously. And when you involve the loudest critics in understanding and improving the problem, they can become some of the strongest advocates for the solution.

Do we need to know the root cause of our Salesforce problem before contacting you?

No. If you already knew the root cause, you probably wouldn’t need me. Bring the symptoms: the report nobody trusts, the field that keeps changing, the process users work around, the automation nobody wants to touch. My job is to help turn those signals into a clear explanation of what’s actually happening and what deserves attention first.

How is this different from a Salesforce health check or org audit?

A traditional Salesforce health check is a bit like doing X-rays, CT scans, and MRIs without first talking to the patient or their family. The tests may show plenty of things worth noticing, but without understanding the history, the symptoms, and where the pain is showing up right now, it’s easy to jump to the wrong conclusion ..or spend time fixing something that isn’t actually causing the problem. Salesforce works the same way. We look at the system, data, automation, and technical debt, but we also talk to the people who use it, support it, and depend on it. The diagnostic evidence only becomes useful when you understand the context around it.

We already know what we want built. Can you just implement the Salesforce enhancement?

Sometimes. But first I’m going to ask why. A new Flow, dashboard, integration, field, or AI agent may absolutely be the right answer. I just don’t want your team spending money implementing a request only to discover that the real problem was the process, ownership, definition, or business decision underneath it. If the requested solution survives that test, we can build it with much more confidence.

Are you going to tell us we need to clean up our entire Salesforce org?

Almost certainly not. Every mature Salesforce org has clutter and technical debt. The useful question is not, “Can we find things to clean up?” We can. The useful question is, “Which Salesforce problems materially threaten the outcome we’re trying to create?” We fix what matters, flag what can safely wait, and avoid turning “cleanup” into a permanent corporate hobby.

Will this turn into a huge, open-ended Salesforce consulting project?

It shouldn’t. We start with a specific problem, outcome, or decision and expand the scope only when the evidence tells us the problem genuinely reaches farther. Sometimes that leads to a broader Salesforce implementation. Sometimes it leads to one targeted fix. Sometimes the best recommendation is to leave half the org alone. The scope follows the evidence ..not a predetermined consulting package.

Do you actually implement the improvements, or do you just hand us a diagnostic report?

We implement. Diagnosis itself is boring. The part we geek out on is solving the problems that actually affect employees, leadership, and customers. The diagnosis helps us avoid fixing the wrong thing; then we simplify the process, make the right Salesforce changes, improve the automation, address the dependencies that matter, and validate that the solution actually improved the outcome. And because the work has to live after we leave, we involve your team along the way so they understand what changed, why it changed, and how to own it confidently.

Can you work with our Salesforce admin, RevOps, IT team, and business users?

That’s usually the best way to work. The admin knows things leadership doesn’t. Users know where the official process and the real process diverge. IT understands dependencies and constraints. Leadership understands the business consequence. I help get those perspectives into the same conversation without assuming anyone is the problem. Then we build the solution with the people who will ultimately use and support it.

What if Salesforce really is the problem? Would you ever recommend replacing Salesforce?

Yes. I’m not here to defend Salesforce. Sometimes the architecture, implementation, or platform really is part of the problem, and replacement deserves serious consideration. But a CRM migration does not automatically fix weak governance, unclear ownership, inconsistent definitions, poor processes, or low trust. Before spending heavily on a replacement, I want to know one thing: will the problem follow you into the new CRM?

Do we need perfectly clean Salesforce data before we can use AI?

No - and chasing perfect data can become its own expensive project. Salesforce AI readiness is use-case specific. We first define what you want AI to do, what information and business context that task depends on, what happens if the AI is wrong, and whether those dependencies are trustworthy enough for that particular use case. Some Salesforce issues may be blockers. Others may have absolutely nothing to do with the AI outcome and can wait.

What access do you need for a Salesforce diagnostic or consulting engagement?

Enough access to follow the evidence ..but we don’t automatically ask for the keys to the kingdom.Depending on the problem, that may include Salesforce access, relevant reports or documentation, and conversations with the people who understand the process, use the system, or own the outcome. We agree on the scope first and ask for what the investigation actually requires. Context is often just as important as configuration.

What if our team doesn’t agree on what the Salesforce problem actually is?

That’s normal ..and often useful. Sales may experience the problem one way, Finance another, and the admin may be looking at an entirely different part of the system. I don’t need everyone to agree before we start. I need the different perspectives in the room so we can separate assumptions from evidence and figure out what is actually happening.

Don’t spend more until you know what actually needs to change.

Bring the Salesforce problem, AI idea, or business decision creating the most pressure. We’ll get clear on what’s happening, what it affects, and the most responsible next move ..then, if it makes sense, we can help you implement it.

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