BEVELSOLUTIONS

EXECUTION AUDITS FOR PRODUCT COMPANIES

Find what's slowing your business down.

We go through your product, operations, and technology to find where time and money are being wasted. You get a clear plan to fix it.

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THE CHAIN

Value usually leaks at the joints between teams.

Most software companies run the same chain: strategy becomes requirements, requirements become tickets, tickets become code, code becomes a release, a release becomes GTM, GTM becomes support findings. Most of what gets lost gets lost at the joints between teams.

  1. REQREQUIREMENTS
    LK-01

    Requirements that lose their why

    The PRD says what to build and why. The ticket says what to build. Engineers fill the gap with assumptions, the assumptions ship, and the gap becomes rework nobody planned for.

  2. TKTTICKETS
    LK-02

    Spec drift

    The spec was accurate at kickoff. Three weeks of decisions later, nobody has updated it. The code, the roadmap, and the document now describe three different products. Every new hire inherits the confusion.

  3. ENGENGINEERING
    LK-03

    Silent rework

    Work gets redone because the first version answered the wrong question. The redo never gets a ticket, so it never shows up in planning or forecasts. Deadlines slip for reasons nobody can name.

  4. RELRELEASE
    LK-04

    Release notes nobody can use

    Engineering writes the changelog for engineering. Sales and customer success cannot use it, so they keep talking about the previous version of the product.

  5. GTMGTM
    LK-05

    Findings that never return

    Support and customer success hear what is broken every day. Those findings sit in a queue and never reach the roadmap. The same problem gets reported again next quarter, at full cost.

  6. SUPSUPPORT

  7. RETURN PATH FROM SUPPORT TO REQUIREMENTS: BROKEN

THE AUDIT

Four weeks inside how you actually run.

Every company has two versions of itself: the one in the strategy deck and the one in the actual work. We look at the second one and find where the two drift apart.

DURATION
Four weeks. Fixed scope, fixed price, fixed end date.
COVERAGE
Requirements, roadmap, planning, tickets, engineering, release, go-to-market, and support. We look at the full chain.
METHOD
We read your planning docs, roadmap, tickets, specs, and release notes. Then 4 to 5 conversations with product managers, engineers, and sales leads. Most of the work is in your documents, not meetings.
LOAD ON YOUR TEAM
Almost none. We work from your existing documents. You will have 4 to 5 short conversations total.
POSITION
We are not on your team. That means we can ask the questions internal people avoid and document what we find without the politics.
DELIVERABLES
A report naming what is broken, where it breaks, and what it costs you. A 90-day fix plan built around your team's real capacity.

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THE LADDER

Four steps. Each one earns the next.

  1. STEP 01FREE

    The scorecard

    Twelve questions about how work moves through your chain, scored against the leaks we find most often. Five minutes, no call.

    Take the scorecard
  2. STEP 02$7,999

    The audit

    Four weeks across the whole chain. You get the findings report and the 90-day plan described above.

    Request the audit
  3. STEP 03

    The install

    We implement the plan as a working system: ticket standards, spec templates, review checkpoints. Scoped after the audit, because the audit decides what gets built.

  4. STEP 04

    The checkup

    A quarterly retainer. We re-read your documents, measure drift against the plan, and tell you what started breaking again.

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FOUND AND FIXED

Patterns we have found inside real orgs.

RETENTION

The reasons customers left were filed months before they left.

Churn causes were sitting in support tickets as unread data. We turned the queue into retention signal and shipped the fixes.

35% less churn. ~$400K in revenue retained ($10M ARR business).

SUPPORT OPS

Closing tickets is not the same as learning from them.

The same issues were resolved dozens of times while the roadmap ignored the signal. Pattern-based triage turned recurring friction into shipped product changes.

70% of tickets closed in under a week. 15+ product improvements from support data.

AI SYSTEMS

We fixed how work was defined before it reached engineering.

Ticket quality, QA coverage, and requirements sign-off were all failing before engineering started. We built three tools to catch problems earlier in the process: better ticket reviews, QA gap checks before code ships, and a requirements check before work begins. Rework went from the default to the exception.

Median backlog time went from 9.1 days to 3.4 days. Rework rate: 40% → 3%.

RELEASE

A large company was shipping once a quarter. Now it ships every month.

The release process was fragile end to end. We tightened handoffs, fixed environment consistency, and gave teams a release process they could repeat. Quarterly releases became monthly ones.

Quarterly → monthly releases. Revenue from exisiting customers up 22%.

Every one of these looked fine from the inside.

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CONTACT

Request the audit.

Tell us what is slowing your team down. We reply within two business days.