Execution Scorecard

Backyard home reports

Backyard home reports scores 40/100 for execution readiness. The recommended next step is Pick one ADU-friendly metro (e.g. a Los Angeles or Bay Area county) and build a manual concierge MVP: a simple landing page offering an 'instant backyard home feasibility + ROI report' for a fixed price. Drive traffic via local search and ADU community groups, and fulfill the first 25 paid orders by hand-researching each parcel. Measure conversion to paid, willingness to pay, and how many buyers click through to request a builder introduction, then approach 3-5 local ADU builders to confirm they will pay for those qualified leads.

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Bottlenecks

Zoning and ADU rules vary by jurisdiction and change frequently; keeping per-city rule sets accurate is costly and a wrong feasibility call carries reputational and possibly liability risk.
Established competitors (ADU Pilot, Site Plan Creator, ADUscale, Haven) already cover homeowner and builder segments, so differentiation and customer acquisition will be hard.
Build-cost and rental-income projections depend on local data that is noisy; inaccurate ROI estimates erode trust and can mislead homeowners' financial decisions.
Homeowner reports are a one-time low-value purchase, so unit economics likely depend on the harder-to-win builder/lender lead-gen channel.
A broad AI assistant can flatten differentiation unless the wedge is painfully specific.
The first release can become a generic dashboard if the job is not named tightly.
Needs real buyer access, not only desk research.

Accelerators

Can talk to the buyer before writing much code.
Can ship a narrow first-win demo quickly.
Can use local-first research artifacts to keep validation moving without a large team.
Use specificity as the wedge: one buyer, one workflow, one measurable result.
Show proof earlier than broad competitors with before-and-after examples and small pilot data.
Keep implementation lighter than incumbent suites or generic AI assistants.
Concierge review or paid template

Dated Plan

First 30 days to evidence.

The plan starts from build time and should be re-exported when the founder chooses a real start date.

2026-07-16

1. Frame the wedge

Write the one-sentence promise and test it in the strongest channel.

Proof: Pick one ADU-friendly metro (e.g. a Los Angeles or Bay Area county) and build a manual concierge MVP: a simple landing page offering an 'instant backyard home feasibility + ROI report' for a fixed price. Drive traffic via local search and ADU community groups, and fulfill the first 25 paid orders by hand-researching each parcel. Measure conversion to paid, willingness to pay, and how many buyers click through to request a builder introduction, then approach 3-5 local ADU builders to confirm they will pay for those qualified leads.

2026-07-19

2. Interview 10 people who match the buyer persona.

Create the lead magnet and use it to recruit interviews.

Proof: Problem resonance: 5+ calls or 10+ detailed replies.

2026-07-23

3. Ship a clickable demo or concierge workflow that produces the first useful artifact.

Build the smallest demo that proves the first win.

Proof: Activation: 25% of demo visitors complete the first-win path.

2026-07-30

4. Run one paid pilot or collect explicit pricing objections before automating the rest.

Delete any report section that feels generic before building.

Proof: Commercial pull: 3 paid pilots, LOIs, or concrete procurement next steps.

2026-08-06

5. Promote to a deeper build plan only after the wedge survives validation.

Run the lead magnet and first-win demo tests.

Proof: Fewer than five qualified buyers agree to discuss the workflow after targeted outreach.

2026-08-15

6. Execution checkpoint 6

Promote to deeper implementation only once the wedge survives interviews or paid-pilot outreach.

Proof: Promote to a deeper build plan only after the wedge survives validation.

First actions

Write the one-sentence promise and test it in the strongest channel.
Create the lead magnet and use it to recruit interviews.
Build the smallest demo that proves the first win.
Delete any report section that feels generic before building.
Run the lead magnet and first-win demo tests.
Promote to deeper implementation only once the wedge survives interviews or paid-pilot outreach.

Builder prompt

Create a dated execution plan for "Backyard home reports". Keep the first milestone tied to Pick one ADU-friendly metro (e.g. a Los Angeles or Bay Area county) and build a manual concierge MVP: a simple landing page offering an 'instant backyard home feasibility + ROI report' for a fixed price. Drive traffic via local search and ADU community groups, and fulfill the first 25 paid orders by hand-researching each parcel. Measure conversion to paid, willingness to pay, and how many buyers click through to request a builder introduction, then approach 3-5 local ADU builders to confirm they will pay for those qualified leads.. Use these bottlenecks: Zoning and ADU rules vary by jurisdiction and change frequently; keeping per-city rule sets accurate is costly and a wrong feasibility call carries reputational and possibly liability risk.; Established competitors (ADU Pilot, Site Plan Creator, ADUscale, Haven) already cover homeowner and builder segments, so differentiation and customer acquisition will be hard.; Build-cost and rental-income projections depend on local data that is noisy; inaccurate ROI estimates erode trust and can mislead homeowners' financial decisions.; Homeowner reports are a one-time low-value purchase, so unit economics likely depend on the harder-to-win builder/lender lead-gen channel.; A broad AI assistant can flatten differentiation unless the wedge is painfully specific.; The first release can become a generic dashboard if the job is not named tightly.; Needs real buyer access, not only desk research.. Use these accelerators: Can talk to the buyer before writing much code.; Can ship a narrow first-win demo quickly.; Can use local-first research artifacts to keep validation moving without a large team.; Use specificity as the wedge: one buyer, one workflow, one measurable result.; Show proof earlier than broad competitors with before-and-after examples and small pilot data.; Keep implementation lighter than incumbent suites or generic AI assistants.; Concierge review or paid template. Link the output to the Idea Builder prompt and do not expand beyond the first validated workflow.