Who should invest in a growth-driven design website, and when is it the wrong fit?
✓ Verified
Last reviewed
by Lean Labs
Next review due Dec 14, 2026
Direct answer
Every claim is sourced below
Growth-driven design fits when six conditions hold together: enough traffic on the page under test to resolve the lift you expect, a named owner who can approve iterations inside a 14-day sprint, budget for a launchpad plus a monthly retainer, customers available to interview, an offer that holds still through a test window, and no launch date fixed inside the 70 to 104 days that strategy and a launchpad take [1][2][3]. Traffic is the condition most often reduced to a single visitor number, and the number that matters is the pair behind it: a page converting at 4 percent needs about 10,600 visitors across both versions to resolve a 25 percent lift at 90 percent significance and 80 percent power, about 62,000 for a 10 percent lift, and about 29,000 for that same 25 percent lift if the baseline is 1.5 percent [5][7]. Budget is the second, and the $1,500 monthly figure in circulation is Luke Summerfield's advice to agencies on the lowest retainer worth selling: he names $2,500 a month as a realistic start, and the 2017 survey of 350 agencies he cites reports packages averaging 33, 83 and 146 hours a month [3]. A fixed-scope build with a contracted date is the better purchase when the launch date cannot move or the money ends at launch [1][3].
Which conditions decide whether growth-driven design fits?
Growth-driven design runs a 10 to 14 day strategy phase, a launchpad site built in 60 to 90 days, then continuous improvement in 14-day sprints [1]. Each condition below either supplies what one of those phases needs as an input or starves it, so most of the fit question is answerable from facts about the company before any design work is scoped.
Condition
What has to be true
Why it decides the outcome
When it points the other way
Traffic on the page under test
Enough visitors to resolve the lift you expect, which depends on the page's current conversion rate and the size of the change [5]
Required sample scales with the inverse square of the effect, so wanting to detect a smaller lift roughly quadruples the visitors needed [5]
Test larger changes, move the test to a higher-traffic page, or ship on judgment and label the change untested [2][8]
A named internal owner
At least one full-time marketing employee accountable for the site, with authority to approve iterations and without micromanagement [2]
A sprint plans, builds and reviews on a 14-day clock [1], so an approval path that answers in three weeks spends the sprint in the queue
Name one decider and reserve group review for strategy-level calls, or run releases on a slower quarterly calendar
Budget shape
Money for the launchpad plus a monthly retainer, held for a six or 12-month engagement [3]
Backlog work, prioritization, running experiments and reporting consume the hours before improvement work starts, so a thin retainer funds process and not changes [3]
Buy a fixed-scope build, launch it with clean analytics, and revisit the retainer when the budget line exists
Customers to research
A proven product, a critical mass of satisfied customers to interview, and research-based buyer personas [2][4]
The first phase is dedicated to research, so a company with a beta product and no customers has no input for it [2]
Validate the product and land the first clients first; Market 8 puts that ahead of site design at this stage [2]
Rate of change in the offer
Pricing, positioning and the product hold still for the length of a test window [6][7]
Optimizely sets a seven-day minimum business cycle and Kohavi's team recommends two weeks to catch novelty effects, so an offer rewritten monthly means the two versions were never selling the same thing [6][7]
Record changes as dated releases and compare periods, accepting that the comparison is uncontrolled
A fixed launch date
No hard deadline inside about 70 to 104 days from kickoff [1]
Strategy takes 10 to 14 days and the launchpad 60 to 90, and the sprint backlog cannot recover a missed date [1]
Contract a fixed-scope build against the date
Only the first condition has arithmetic behind it, and the rest are settled by naming who approves a change and checking what the budget does after launch day.
How much traffic does the improvement phase need?
No single visitor count answers this, because the requirement depends on two numbers: the page's current conversion rate and the size of the change you want to detect. Kohavi's team at Microsoft raises the same objection to blanket figures, noting that a widely quoted 10,000 monthly visitor guideline should be refined to the metrics of interest, and that skewed metrics need a higher lower bound than the standard formula returns, with revenue per user at Bing requiring 114,000 observations per variant [6].
Market 8's readiness guide, published in July 2017 by a B2B web design agency that sells the method, states the opposite of a hard floor: a site under 5,000 visits a month can still use growth-driven design, it just takes longer to mine the data and carries lower certainty, and in some cases no data can be collected at all, so the decisions run on heuristics or one-on-one user studies [2]. Low traffic changes which instrument you use, not whether the method applies.
A worked fit check
The table works the two-sample proportion formula for a constructed case, not a client result [5]. Assumptions: one page converting at 4.0 percent, tested at 90 percent two-sided significance (z = 1.645, the default in Optimizely's sample size calculator) and 80 percent power (z = 0.842), with 2,500 visitors a month reaching that page and traffic split evenly between the two versions [5][7].
Relative lift you want to detect
Conversion rates compared
Visitors per version
Total visitors
Months at 2,500 visitors
50 percent
4.0 percent to 6.0 percent
1,468
2,937
About 1
25 percent
4.0 percent to 5.0 percent
5,314
10,628
About 4
10 percent
4.0 percent to 4.4 percent
31,095
62,190
About 25
Required sample scales with the inverse square of the effect, which is why halving the lift you want to detect roughly quadruples the traffic bill [5].
What one sprint can and cannot resolve
A 14-day sprint at 2,500 monthly visitors collects roughly 583 visitors per version. Run through the same formula, that sample resolves a lift of about 85 percent at the assumed baseline, so a single sprint at this traffic level detects only a change that nearly doubles the conversion rate, and a full month brings that to about 55 percent [5]. Neither figure sits in the range Kohavi's team reports from thousands of experiments at Bing, where most experiments fail and the successful ones move key metrics by 0.1 to 1.0 percent once diluted to overall impact [6]. A site at this traffic level can run growth-driven design; what it cannot do is settle a small question inside a sprint, so sprints there ship recorded judgment calls and reserve measurement for the few changes large enough to register.
Baseline conversion moves the requirement as much as the lift does. The same 25 percent lift needs about 29,000 total visitors at a 1.5 percent baseline and about 4,000 at a 10 percent baseline [5]. Tightening the threshold to 95 percent significance takes the 4 percent case from 10,628 to about 13,500 [5]. Optimizely's documentation adds a floor unrelated to sample size, a minimum of one business cycle, which it defines as seven days, so that all kinds of user behavior are represented [7].
Who inside the company has to own it?
Market 8 puts the requirement at one full-time marketing employee accountable for the site, plus a marketing team with freedom of action that is not being micromanaged [2]. Eduardo Esparza names why this method draws micromanagement in particular: it touches the website, including the homepage, which is a shiny object subject to scrutiny from the leadership team and even investors [2]. The 14-day sprint is what turns that into a fit problem, because a sprint plans, builds and reviews inside those two weeks [1], so an approval path that returns an answer in three weeks spends the sprint in the queue and the retainer buys waiting.
Ownership has a research component as well, since IMPACT's growth-driven design guide calls research-based buyer personas a non-negotiable step and tells organizations unwilling to commit to them to stop reading [4]. Someone has to book the customer interviews and keep the personas current as the buyer changes, and that work does not survive being assigned to nobody in particular.
A committee is not a disqualifier by itself, and the structure that works is one decider with standing authority over iterations, backed by people who know the product and the sales objections, with full group review reserved for strategy-level calls. A team that cannot make that change can still buy the launchpad and run improvements as scheduled quarterly releases, measured against the previous quarter with the comparison labeled uncontrolled.
What does the budget have to look like?
Luke Summerfield, who created growth-driven design as an internal startup at HubSpot, advises agencies not to sell continuous improvement below 15 hours or $1,500 a month at a $100 hourly rate, and names $2,500 a month as a better starting point [3]. His reason is fixed overhead: the hours spent building the backlog, organizing it, running the experiments and reporting on them are spent before any improvement work begins, which is why he says a thinner retainer produces a puttering out of results [3].
The packages agencies sell run well above that floor: Summerfield cites the 2017 State of Growth-Driven Design survey of 350 agencies, which grouped offerings into three tiers averaging 33, 83 and 146 hours a month, or roughly $3,300, $8,300 and $14,600 at a $100 rate [3]. He also recommends structuring by site size: a flat six or 12-month retainer of $2,500 to $3,500 a month for a small site, covering strategy, launchpad and four months of improvement; and for a site that would cost $20,000 to $100,000 as a traditional build, $10,000 to $20,000 for strategy and the launchpad plus about $3,000 a month afterward [3]. Those are pricing recommendations the method's creator gave to agency owners on a podcast presented by HubSpot, so read them as what sellers were coached to charge, not as surveyed prices buyers paid.
A worked six-month total
Take the medium-site route at its midpoint: $15,000 for strategy and the launchpad, then $3,000 a month for six months of continuous improvement, for $33,000 over roughly eight months from kickoff [3]. The number to compare that against is what a fixed-scope build of the same site would cost, which Summerfield puts at $20,000 to $100,000 for a site in that class [3]. A buyer who can fund $15,000 once and nothing after is not buying a cheaper version of the program. They are buying its first phase.
The launchpad is where that runs into trouble, because Growth-Driven Design's own description is that a launchpad focuses on prioritized improvements to launch sooner and get results faster [1], which means it ships deliberately short of the finished site, with lower-priority pages and components pushed into the improvement phase. Fund the launchpad and stop, and those deferred items stay deferred, so the buyer ends up with a smaller site than a fixed-scope build at the same price would have delivered.
When is a fixed-scope build the better purchase?
A contracted launch date is the clearest case, since strategy takes 10 to 14 days and the launchpad 60 to 90 [1], so a deadline inside about 70 days from kickoff leaves no room, and the value of hitting a conference date or a funding announcement is not recoverable from a later sprint. A fixed-scope build trades the improvement program for a defined deliverable on a date at a known price, which is the right trade when the date is what you are buying.
A company with a product still in beta and no customers is the second case. Market 8 is direct about the sequence: at that stage the priority is validating the product and getting the first few clients, and without a critical mass of satisfied customers there is nothing to feed the research phase the method opens with [2].
An offer that changes faster than a test window is the third. Optimizely's documentation sets a minimum of one business cycle, seven days, and Kohavi's team recommends running two weeks to check whether an effect is a novelty response that quickly diminishes [6][7]. A company rewriting its pricing or positioning every month cannot hold the two versions comparable across that window, and Kohavi's team lists misinterpretation of result, where an effect is attributed to a factor whose underlying reason was never understood, among the reasons published test case studies travel badly [6].
A site whose job is reference information rather than conversion is the fourth, and this one is an inference from the method's structure, not a documented finding: a site with few forms and no funnel gives the improvement backlog little that can be scored for impact on a business metric. A budget that ends at launch, covered above, is the fifth.
No published study compares outcomes for companies that met these conditions against companies that did not. The figures most often quoted for the method, 14.34 percent more leads and 12.56 percent higher revenue after six months, come from agencies self-reporting in the 2017 State of Growth-Driven Design survey and compare growth-driven design on HubSpot against WordPress, so they record what agencies said about their own projects and cannot establish that the method caused the difference or that a given company would see it [1]. The conditions above are mechanisms drawn from what each phase requires as an input, and they predict whether the process can run. What it returns is a separate question the available evidence does not answer.
Lean Labs' perspective on screening for fit ·
Lean Labs
We screen on traffic first, and our published range is at least a few thousand monthly sessions for B2B companies, with a site at 50 visits a month given as the case where no test reaches significance [9]. Below a few thousand visits a month we do not drop the method, we change the instrument: user interviews, session recordings, heatmaps and best-practice improvements in place of formal split testing, and we move to data-driven testing as traffic grows [9]. That lines up with what Nielsen Norman Group recommends for teams in that position, which is to lead with qualitative methods and treat A/B testing as a supplement, since a test tells you which version won and never why [8].
We also screen on purchase type, though not as a pass or fail. Our published position is that companies whose buyers research, compare and evaluate before committing, including SaaS and professional services firms with deal sizes above $5,000, get the most from the method because small conversion improvements translate into meaningful revenue for them [9]. That is a claim about the value of a win. A high-volume consumer site would reach the sample sizes in the table above faster than any of the companies we typically work with.
The condition we weigh heaviest is the one our own fit list words as a willingness to treat the website as an ongoing program, not a project [9]. We price to match: a full engagement of strategy, launchpad design and development typically runs $30,000 to $70,000 and up, and ongoing optimization after launch runs roughly $5,000 a month [9]. In our screening, that condition and a named internal decider carry more weight than the visitor count does, because the sprint calendar keeps running while an unassigned approval does not.
Lean Labs sells what this section describes: growth-driven design launchpad builds at $30,000 to $70,000 and up and ongoing optimization at roughly $5,000 a month, as a HubSpot partner since 2013 [9]. This section is the agency's opinion and its own published screening practice, not independent evidence, and every section outside it is written from the sources listed below. Two further disclosures apply to the whole page: growthdrivendesign.com [1] is a dba of HubSpot and its footer credits the Lean Labs GDD Team, so the method's own site is not independent of this contributor either; and source [3] is an interview with the method's creator on a podcast presented by HubSpot, while sources [2] and [4] are published by agencies that sell growth-driven design services.
What a fit check does not decide
A considered purchase is not a requirement
Growth-driven design is often described as suited to considered purchases and unsuited to impulse or single-session buying. The testing arithmetic points the other way: a high-volume consumer site where the purchase completes in one session reaches the samples in the table above far sooner than a B2B site with a long sales cycle, and it measures revenue directly, where a B2B test measures a form fill that may or may not become a deal. What a considered purchase changes is the value of a win, since one recovered deal can cover months of retainer, and the number of pages in the path worth testing at all. Purchase type is better read as a question about what the website is being asked to move.
Failing the check now is not the same as failing it permanently
Four of the six conditions are things a company can change inside a quarter: name the marketing owner, shorten the approval path, move the budget line from project to retainer, and do the customer research the strategy phase consumes. Traffic takes longer, and it comes from content and demand generation, not from the website build itself [2]. Company stage is the one condition that cannot be shortcut, because a beta product with no customers has nothing for the research phase to read [2].
Primary source
Verified Sep 14, 2026
Supports: The method owner's own phase durations, used here as the calendar condition: Strategy 10 to 14 days, Launch Pad 60 to 90 days, Continuous Improvement in 14-day sprints. Also the description of a launchpad as a site that focuses on prioritized improvements to launch sooner and get results faster, whi
“A Launchpad site focuses on prioritized improvements to launch sooner and get results faster.”
Supporting
Verified Sep 14, 2026
Supports: The readiness criteria used throughout: that a site under 5,000 visits a month can still benefit from growth-driven design but takes longer to mine the data and yields lower certainty, and that in some cases no data can be collected at all so decisions run on heuristics or one-on-one user studies, w
“If your website has low traffic (under 5k visits per month), you can still benefit from GDD, it's just that it will take you longer to mine the data, and likely you'll have a lower level of certainty about the data you collect to make decisions.”
Supporting
Verified Sep 14, 2026
Supports: Every budget figure in this answer, stated by Luke Summerfield, who founded Growth-Driven Design as an internal startup at HubSpot: that he would not go lower than 15 hours a month or $1,500 a month at a $100 hourly rate, because backlog building, organizing, running the experiments and reporting le
“One bit of advice is I wouldn't go any lower than 15 hours a month or $1,500 a month if your hourly rate's $100. Once you get under 15, just the amount of time that's with building the backlog, organizing it, running the experiments, doing the reporting, all of that. You're really not gonna have enough time to invest on actually making impactful improvements on the site.”
Supporting
Verified Sep 14, 2026
Supports: The single claim it is cited for: that research-based buyer personas are a non-negotiable step in growth-driven design and that an organization unwilling to commit to creating them should not adopt the method. IMPACT sells website redesign services, so this is agency material and not independent ana
“This is a non-negotiable step. Seriously, if you aren't willing to commit to crafting research-based buyer personas, you should stop reading this guide right now.”
Jing Zhou, Jiannan Lu and Anas Shallah, CIKM 2023 (arXiv:2305.16459)
Independent
Verified Sep 14, 2026
Supports: The two-sample proportion sample size formula behind every visitor count in this answer, n = 2 p_pool (1 - p_pool) (z_{1-alpha/2} + z_{1-beta})^2 / delta^2 with p_pool the average of the two rates and delta the absolute difference, and the resulting inverse-square relationship between detectable eff
“when sample size is under-estimated, the statistical inference, even with the correct analysis methods, will not be able to detect the true significant improvement leading to misinformed and costly decisions”
Independent
Verified Sep 14, 2026
Supports: Rule #7, that a blanket visitor guideline such as the 10,000 monthly visitors suggested by Neil Patel should be refined to the metrics of interest, and that skewed online metrics require a higher lower bound than the standard power formula returns, with revenue per user at Bing (skewness 17.9) needi
“For web sites like Bing, where thousands of experiments are being run annually, most fail, and those that succeed improve key metrics by 0.1% to 1.0%, once diluted to overall impact.”
Primary source
Verified Sep 14, 2026
Supports: The vendor's own defaults used as stated assumptions here: that its sample size calculator defaults to 90 percent statistical significance, and that tests should run for a minimum of one business cycle, which the page defines as seven days, so that all kinds of user behavior are accounted for. Also
“You should run tests for a minimum of one business cycle (seven days) to ensure all kinds of user behavior are accounted for.”
Independent
Verified Sep 14, 2026
Supports: That A/B testing measures behavior under real conditions but cannot explain why the measured result happened, because the team is not observing users or listening in on their thoughts, and the recommendation not to make A/B testing the first method chosen but to use it as a supplement to qualitative
“The biggest problem with A/B testing is that you don't know why you get the measured results.”
Contributor · COI
Verified Sep 14, 2026
Supports: The contributor's own published positions, cited only inside the contributor perspective: that a site getting 50 visits a month will not reach statistical significance on any test and that B2B companies with at least a few thousand monthly sessions are in the right range; that below a few thousand v
“If your site gets 50 visits a month, you won't reach statistical significance on any test. GDD's continuous improvement phase relies on having enough data to make confident decisions. B2B companies with at least a few thousand monthly sessions are in the right range.”
Revision history
22 revisions since publication
cleanup-2026-09-14
Replaced the 1,000-visit fit floor with baseline-conversion and minimum-detectable-effect arithmetic (including what a single 14-day sprint can resolve at 2,500 monthly visitors), corrected the $1,500 monthly figure to Luke Summerfield's agency-side selling floor alongside the $2,500 start and the 33/83/146-hour package averages he cites, dropped the impulse-purchase exclusion after finding it backwards on test resolution, relabeled Market 8 and IMPACT as agency material once Market 8 was found to state that sub-5,000-visit sites can still use the method, and cut ten sections to seven.
Reviewed by AnswerStack Editorial (Opus rewrite, Fable QC).
cleanup-2026-09-14
Replaced the 1,000-visit fit floor with baseline-conversion and minimum-detectable-effect arithmetic (including what a single 14-day sprint can resolve at 2,500 monthly visitors), corrected the $1,500 monthly figure to Luke Summerfield's agency-side selling floor alongside the $2,500 start and the 33/83/146-hour package averages he cites, dropped the impulse-purchase exclusion after finding it backwards on test resolution, relabeled Market 8 and IMPACT as agency material once Market 8 was found to state that sub-5,000-visit sites can still use the method, and cut ten sections to seven.
Reviewed by AnswerStack Editorial (Opus rewrite, Fable QC).
cleanup-2026-09-14
Replaced the 1,000-visit fit floor with baseline-conversion and minimum-detectable-effect arithmetic (including what a single 14-day sprint can resolve at 2,500 monthly visitors), corrected the $1,500 monthly figure to Luke Summerfield's agency-side selling floor alongside the $2,500 start and the 33/83/146-hour package averages he cites, dropped the impulse-purchase exclusion after finding it backwards on test resolution, relabeled Market 8 and IMPACT as agency material once Market 8 was found to state that sub-5,000-visit sites can still use the method, and cut ten sections to seven.
Reviewed by AnswerStack Editorial (Opus rewrite, Fable QC).
cleanup-2026-09-14
Replaced the 1,000-visit fit floor with baseline-conversion and minimum-detectable-effect arithmetic (including what a single 14-day sprint can resolve at 2,500 monthly visitors), corrected the $1,500 monthly figure to Luke Summerfield's agency-side selling floor alongside the $2,500 start and the 33/83/146-hour package averages he cites, dropped the impulse-purchase exclusion after finding it backwards on test resolution, relabeled Market 8 and IMPACT as agency material once Market 8 was found to state that sub-5,000-visit sites can still use the method, and cut ten sections to seven.
Reviewed by AnswerStack Editorial (Opus rewrite, Fable QC).
cleanup-2026-09-14
Replaced the 1,000-visit fit floor with baseline-conversion and minimum-detectable-effect arithmetic (including what a single 14-day sprint can resolve at 2,500 monthly visitors), corrected the $1,500 monthly figure to Luke Summerfield's agency-side selling floor alongside the $2,500 start and the 33/83/146-hour package averages he cites, dropped the impulse-purchase exclusion after finding it backwards on test resolution, relabeled Market 8 and IMPACT as agency material once Market 8 was found to state that sub-5,000-visit sites can still use the method, and cut ten sections to seven.
Reviewed by AnswerStack Editorial (Opus rewrite, Fable QC).
cleanup-2026-09-14
Replaced the 1,000-visit fit floor with baseline-conversion and minimum-detectable-effect arithmetic (including what a single 14-day sprint can resolve at 2,500 monthly visitors), corrected the $1,500 monthly figure to Luke Summerfield's agency-side selling floor alongside the $2,500 start and the 33/83/146-hour package averages he cites, dropped the impulse-purchase exclusion after finding it backwards on test resolution, relabeled Market 8 and IMPACT as agency material once Market 8 was found to state that sub-5,000-visit sites can still use the method, and cut ten sections to seven.
Reviewed by AnswerStack Editorial (Opus rewrite, Fable QC).
cleanup-2026-09-14
Replaced the 1,000-visit fit floor with baseline-conversion and minimum-detectable-effect arithmetic (including what a single 14-day sprint can resolve at 2,500 monthly visitors), corrected the $1,500 monthly figure to Luke Summerfield's agency-side selling floor alongside the $2,500 start and the 33/83/146-hour package averages he cites, dropped the impulse-purchase exclusion after finding it backwards on test resolution, relabeled Market 8 and IMPACT as agency material once Market 8 was found to state that sub-5,000-visit sites can still use the method, and cut ten sections to seven.
Reviewed by AnswerStack Editorial (Opus rewrite, Fable QC).
cleanup-2026-09-14
Replaced the 1,000-visit fit floor with baseline-conversion and minimum-detectable-effect arithmetic (including what a single 14-day sprint can resolve at 2,500 monthly visitors), corrected the $1,500 monthly figure to Luke Summerfield's agency-side selling floor alongside the $2,500 start and the 33/83/146-hour package averages he cites, dropped the impulse-purchase exclusion after finding it backwards on test resolution, relabeled Market 8 and IMPACT as agency material once Market 8 was found to state that sub-5,000-visit sites can still use the method, and cut ten sections to seven.
Reviewed by AnswerStack Editorial (Opus rewrite, Fable QC).
cleanup-2026-09-14
Replaced the 1,000-visit fit floor with baseline-conversion and minimum-detectable-effect arithmetic (including what a single 14-day sprint can resolve at 2,500 monthly visitors), corrected the $1,500 monthly figure to Luke Summerfield's agency-side selling floor alongside the $2,500 start and the 33/83/146-hour package averages he cites, dropped the impulse-purchase exclusion after finding it backwards on test resolution, relabeled Market 8 and IMPACT as agency material once Market 8 was found to state that sub-5,000-visit sites can still use the method, and cut ten sections to seven.
Reviewed by AnswerStack Editorial (Opus rewrite, Fable QC).
v2.1
Published after editorial review.
Reviewed by Ryan Scott.
v2
Depth pass: expanded into per-item sections with a summary table, added substance and sources. Held as draft.
Reviewed by Ryan Scott.
v2
Depth pass: expanded into per-item sections with a summary table, added substance and sources. Held as draft.
Reviewed by Ryan Scott.
v2
Depth pass: expanded into per-item sections with a summary table, added substance and sources. Held as draft.
Reviewed by Ryan Scott.
v2
Depth pass: expanded into per-item sections with a summary table, added substance and sources. Held as draft.
Reviewed by Ryan Scott.
v2
Depth pass: expanded into per-item sections with a summary table, added substance and sources. Held as draft.
Reviewed by Ryan Scott.
v2
Depth pass: expanded into per-item sections with a summary table, added substance and sources. Held as draft.
Reviewed by Ryan Scott.
v2
Depth pass: expanded into per-item sections with a summary table, added substance and sources. Held as draft.
Reviewed by Ryan Scott.
v2
Depth pass: expanded into per-item sections with a summary table, added substance and sources. Held as draft.
Reviewed by Ryan Scott.
v2
Depth pass: expanded into per-item sections with a summary table, added substance and sources. Held as draft.
Reviewed by Ryan Scott.
v2
Depth pass: expanded into per-item sections with a summary table, added substance and sources. Held as draft.
Reviewed by Ryan Scott.
v2
Depth pass: expanded into per-item sections with a summary table, added substance and sources. Held as draft.
Reviewed by Ryan Scott.
v2
Depth pass: expanded into per-item sections with a summary table, added substance and sources. Held as draft.
Reviewed by Ryan Scott.