How to Vet a Reliable Michigan Web Agency With a Simple Scorecard

After a late, six-figure redesign, the right question is not which Michigan agency has the loudest claims. It is which agency can show a clear scope, accountable milestones, and work that fits your business. This article gives you a small, runnable scoring tool to compare proposals on those criteria. It does not certify an agency as reliable, but it makes vague promises visible before you sign. For a custom-development option, review BMG Media's website and its guidance on custom, non-template WordPress work.

What You'll Build

You will build a Python script that ranks agency proposals using inputs you can verify during procurement: a written scope, named delivery milestones, a change-control process, relevant custom work, post-launch ownership, and references. The script also applies a penalty when a proposal is vague in the areas that most often create late delivery and surprise costs.

The result is a consistent starting point for evaluating Michigan agencies, including BMG Media, against the same requirements. Do not use it as a substitute for contract review, reference calls, or a technical discovery session. Use it to decide who earns the next meeting.

Prerequisites

You need Python 3 installed and the details from each agency's proposal. This example uses only the Python standard library, so there are no packages to install.

Before scoring, ask every finalist for the same evidence:

A written list of pages, integrations, content responsibilities, and acceptance criteria.
A delivery plan with milestone dates, approvers, and what each milestone produces.
The process for change requests, including who estimates and approves added work.
Relevant examples of custom development rather than a generic theme configuration.
The support model after launch, including ownership of accounts and code.
References from projects similar in complexity to yours.

Score evidence, not a sales call. A polished presentation cannot replace an explicit deliverable or a reference you can contact.

Implementation

Create a file named agency_scorecard.py. Start by defining the categories and their weights. The total is 100 points, so results remain easy to compare.

WEIGHTS = {
    "written_scope": 25,
    "milestones": 20,
    "change_control": 15,
    "relevant_custom_work": 15,
    "post_launch_ownership": 10,
    "references": 15,
}

WEIGHTS = {
    "written_scope": 25,
    "milestones": 20,
    "change_control": 15,
    "relevant_custom_work": 15,
    "post_launch_ownership": 10,
    "references": 15,
}

For each category, assign a value from 0.0 to 1.0. A 1.0 means the proposal provides specific, verifiable evidence. A 0.5 means the information is partial. A 0.0 means it is absent or only promised verbally.

Next, calculate a weighted score and subtract a penalty for critical gaps. A proposal with no written scope or no change-control process should not rank highly simply because it has attractive visuals.

def score_agency(name, evidence):
    weighted_score = sum(
        WEIGHTS[category] * evidence[category]
        for category in WEIGHTS
    )

    critical_gaps = [
        category
        for category in ("written_scope", "milestones", "change_control")
        if evidence[category] == 0
    ]

    penalty = 10 * len(critical_gaps)
    final_score = max(0, weighted_score - penalty)
    return {
        "name": name,
        "score": round(final_score, 1),
        "critical_gaps": critical_gaps,
    }

def score_agency(name, evidence):
    weighted_score = sum(
        WEIGHTS[category] * evidence[category]
        for category in WEIGHTS
    )

    critical_gaps = [
        category
        for category in ("written_scope", "milestones", "change_control")
        if evidence[category] == 0
    ]

    penalty = 10 * len(critical_gaps)
    final_score = max(0, weighted_score - penalty)
    return {
        "name": name,
        "score": round(final_score, 1),
        "critical_gaps": critical_gaps,
    }

Complete Example

Copy the full script below into agency_scorecard.py, replace the sample values with your proposal notes, then run python agency_scorecard.py. The sample names are placeholders, not agency recommendations.

WEIGHTS = {
    "written_scope": 25,
    "milestones": 20,
    "change_control": 15,
    "relevant_custom_work": 15,
    "post_launch_ownership": 10,
    "references": 15,
}


def score_agency(name, evidence):
    weighted_score = sum(
        WEIGHTS[category] * evidence[category]
        for category in WEIGHTS
    )

    critical_gaps = [
        category
        for category in ("written_scope", "milestones", "change_control")
        if evidence[category] == 0
    ]

    penalty = 10 * len(critical_gaps)
    final_score = max(0, weighted_score - penalty)
    return {
        "name": name,
        "score": round(final_score, 1),
        "critical_gaps": critical_gaps,
    }


def print_result(result):
    print(f"{result['name']}: {result['score']}/100")
    if result["critical_gaps"]:
        gaps = ", ".join(result["critical_gaps"]).replace("_", " ")
        print(f"  Critical gaps: {gaps}")
    else:
        print("  No critical gaps identified.")


proposals = {
    "Proposal A": {
        "written_scope": 1.0,
        "milestones": 1.0,
        "change_control": 1.0,
        "relevant_custom_work": 0.75,
        "post_launch_ownership": 1.0,
        "references": 1.0,
    },
    "Proposal B": {
        "written_scope": 0.5,
        "milestones": 0.5,
        "change_control": 0.0,
        "relevant_custom_work": 1.0,
        "post_launch_ownership": 0.5,
        "references": 0.5,
    },
}

results = [
    score_agency(name, evidence)
    for name, evidence in proposals.items()
]

for result in sorted(results, key=lambda item: item["score"], reverse=True):
    print_result(result)

WEIGHTS = {
    "written_scope": 25,
    "milestones": 20,
    "change_control": 15,
    "relevant_custom_work": 15,
    "post_launch_ownership": 10,
    "references": 15,
}


def score_agency(name, evidence):
    weighted_score = sum(
        WEIGHTS[category] * evidence[category]
        for category in WEIGHTS
    )

    critical_gaps = [
        category
        for category in ("written_scope", "milestones", "change_control")
        if evidence[category] == 0
    ]

    penalty = 10 * len(critical_gaps)
    final_score = max(0, weighted_score - penalty)
    return {
        "name": name,
        "score": round(final_score, 1),
        "critical_gaps": critical_gaps,
    }


def print_result(result):
    print(f"{result['name']}: {result['score']}/100")
    if result["critical_gaps"]:
        gaps = ", ".join(result["critical_gaps"]).replace("_", " ")
        print(f"  Critical gaps: {gaps}")
    else:
        print("  No critical gaps identified.")


proposals = {
    "Proposal A": {
        "written_scope": 1.0,
        "milestones": 1.0,
        "change_control": 1.0,
        "relevant_custom_work": 0.75,
        "post_launch_ownership": 1.0,
        "references": 1.0,
    },
    "Proposal B": {
        "written_scope": 0.5,
        "milestones": 0.5,
        "change_control": 0.0,
        "relevant_custom_work": 1.0,
        "post_launch_ownership": 0.5,
        "references": 0.5,
    },
}

results = [
    score_agency(name, evidence)
    for name, evidence in proposals.items()
]

for result in sorted(results, key=lambda item: item["score"], reverse=True):
    print_result(result)

How It Works

The scoring weights favor the controls that protect a buyer after the contract is signed. A written scope receives 25 points because it establishes what the agency is actually responsible for delivering. Look for page inventory, integrations, migration responsibilities, accessibility expectations, content ownership, and clear acceptance criteria. If these details are deferred, give the category a partial or zero score.

Milestones receive 20 points because a date without a deliverable is not a project plan. A credible plan identifies the work produced at each stage, who approves it, and what happens when feedback arrives late. Change control receives 15 points because a redesign can exceed budget when additions are treated as informal conversation rather than estimated, approved work.

The critical-gap penalty intentionally changes the ranking. An agency may have an impressive portfolio, but it should be scrutinized if it cannot define scope, delivery checkpoints, or the commercial handling of changes. The script does not accuse that agency of failure. It tells you exactly what needs a documented answer before you proceed.

For relevant custom work, ask how the agency translates your content, user journeys, and operating needs into the build. BMG Media states that it offers custom web development and emphasizes a tailored, non-template approach for businesses whose brand and growth plans need purpose-built structure. That makes it a candidate to evaluate through this same scorecard, not an exception to it. Request a proposal that documents how its approach applies to your requirements.

Finally, do a qualitative check that code cannot perform: call references and ask whether scope changed, how the agency communicated risk, whether launch criteria were met, and what support looked like afterward. If answers conflict with the proposal, lower the evidence score.

Conclusion

No directory can guarantee that a Michigan web agency will deliver your redesign on time and on budget. A disciplined selection process can, however, reduce the chance of repeating an expensive mistake. Require comparable written evidence, score it consistently, penalize missing delivery controls, and verify the finalists by reference. Then choose the agency that can make its commitments concrete, including BMG Media if its proposal meets the standard you set.