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A 14-day operations diagnostic should hand you three things you keep

A diagnostic should end with a process map, a clickable prototype and a roadmap that you keep and can act on, even if you stop there.

A 14-day operations diagnostic should leave you holding three things: a process map that shows how your business really works and which problems to solve first, a clickable prototype that shows how a system would solve them, and a roadmap of every fix in order of value. You should be able to use all three without the team that produced them.

Most operations audits end in a report nobody acts on

Executives who have paid for an operations audit before tend to describe the same outcome: a long document, broadly accurate, that nobody could act on. The analysis was not wrong. It stopped at the point where someone had to decide what to build and get the team to use it.

Underneath sits a harder problem, which is diagnosis itself. In a survey reported in Harvard Business Review in 2017, 85% of executives agreed that their organizations were bad at diagnosing problems, and 87% said this carried significant costs.1 The sample was 106 executives, so treat the figures as directional.

Exhibit 1Most executives say their organizations are bad at choosing the problem, and that it costs themExecutives who agreed or strongly agreed, %
Most executives say their organizations are bad at choosing the problem, and that it costs them
StatementAgreed
Bad at diagnosing problems85
The flaw has significant costs87

Source: Wedell-Wedellsborg, Harvard Business Review, 2017; 106 executives1

A diagnostic exists to close exactly this gap: to choose the right problem before money goes into a solution.

The process map shows where time and money leak

The first artifact is a map of how work actually moves through your business, drawn with the people who do it. In a 14-day diagnostic the mapping takes days 1 to 7: four or five calls with your team, with each process drawn live while people describe it. A useful map puts every process, leak and fix in one place. Each handoff, re-entry and wait is marked, costed in hours and money, and paired with the change that would remove it.

Judge the map by one question: could a new hire use it to understand how a job moves from sale to invoice? If not, it is too abstract to build from.

A clickable prototype lets your team try the fix first

The second artifact is a clickable prototype, built in days 8 to 14 on your own data and jobs. It shows how the system would solve the problems on the map, and it gives your team something tangible to try before you commit to a full build. It is not yet the system your team runs on every day. Its job is to make the fix concrete enough to argue about.

The case for doing this early is old and well documented. Barry Boehm and Victor Basili put avoidable rework at 40–50% of the effort on software projects, and noted that better systems come from requirements that emerge through prototyping.2 A change on a prototype costs hours. The same change after launch costs weeks.

This is also where adoption starts. When the people who will use a system have shaped its screens, they have a stake in it. When they first see it at launch, they arrive with a list of reasons it does not fit.

The roadmap puts the highest-value fixes first

The third artifact arrives on day 14: every leak the map found, what each is worth and how to fix it, in order of value. A diagnostic usually turns up many problems, and a handful of them cost most of the money. A good roadmap names those, puts a number on each and says plainly which problems are not worth solving yet. You then decide what to build, what to set up and what to skip.

Exhibit 2IllustrativeA roadmap puts the highest-value fixes first and says what to leave aloneRoadmap for a 30-person agency; team hours saved a month
ChangeHoursEffortOwner
Signed-contract notice252 daysSales lead
One client record603 weeksOperations lead
Budget against hours201 weekFinance lead
New proposal template32 weeksNot yet: low return

Source: Verticulate illustration

Be wary of a roadmap that recommends doing everything. Its job is to make choices.

The roadmap is also the page you forward. Many owners we work with need a partner, a board or another executive to agree before they go ahead, so it has to make sense to someone who was not on the calls.

Five questions to ask any diagnostic before you sign

  1. Will I own the map, the prototype and the roadmap if I stop after the diagnostic?
  2. Which of my staff will join the mapping calls, and for how long?
  3. Will I see the maps as they are drawn, or only at the end?
  4. Is the prototype built on my own data and jobs, and who on my team will try it?
  5. Will the roadmap tell me what not to do?

A provider that answers all five clearly, in writing, is selling a diagnostic. One that answers with a description of its methodology is selling a report.

Most of your team’s time goes into the first week

A diagnostic run this way starts with a one-day onboarding, where access is set up and you meet the people who will run the calls. In days 1 to 7, your team joins four or five mapping calls: the consultants ask the questions and your people answer. Days 8 to 14 go on building the prototype, and the roadmap arrives on day 14. That is the price of a map drawn from how the work really runs, instead of how the owner remembers it.

You should be able to stop after day 14

If you stop after day 14, you should be able to hand all three artifacts to a competent developer or a new operations hire and have them start work the next morning. If you cannot, the diagnostic has not finished its job. That is the standard we hold our own diagnostics to, and the one we would apply to anyone else’s.

Sources

  1. 1

    Are You Solving the Right Problems?. Thomas Wedell-Wedellsborg, Harvard Business Review, 2017.

    Sample: Survey of 106 C-suite executives at 91 private and public-sector companies in 17 countries.

    DirectionalA small opinion survey of executives at larger companies. Good for the direction (choosing the problem is a known weakness); treat the percentages as soft.

  2. 2

    Software Defect Reduction Top 10 List. Barry Boehm and Victor R. Basili, IEEE Computer, 2001.

    Sample: The authors' summary of empirical studies of software projects, mostly large systems, from the 1980s and 1990s.

    ModerateRespected researchers and a consistent finding, but an older, expert summary. Good for the rough size of avoidable rework; do not read it as a measurement of any one project.

Moderate
Sound method, but a different population, a smaller sample or an older study. Good for direction and rough size.
Directional
Survey, vendor or expert estimate. Trust the direction; treat the exact number as soft.

Written by

Mihkel Sinikas

Mihkel Sinikas

Founder

Spent years in consulting and product development, and helped automate and streamline processes for logistics and professional services companies.

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