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Custom Work

Sell a Paid Data or Dashboard Audit Service From Your Bio

How data analysts turn 'can you check my dashboard/metrics?' requests into a priced async audit — a scoped custom request instead of a consulting call or a freelance marketplace listing.

Updated September 2026

Get paid for this — with Brillay

How many “can you check my Looker dashboard?” messages became a free scoping call this quarter? Put the scope, price and turnaround on the listing and the next one arrives already paid, dashboard attached.

Brillay is a link in your bio where followers pay you directly for:

Custom WorkPaid QuestionsPersonalized VideosGoalsTips

The findings go back in writing inside the window you set — no call to hold — so a $95 dashboard check can be priced for the founders who would never book an hour.

No monthly fee, you only pay a small platform fee when you get paid.

A data analyst sells a paid audit by scoping one deliverable — a dashboard health check, a metric definition review, or a query review — at a fixed price with a stated turnaround, so the buyer pays up front and gets written findings back asynchronously. No consulting call, marketplace profile, or live meeting is involved. Custom Work lets you offer clearly scoped commissions and services: you set the price, the scope and the delivery time, and followers submit a brief and pay before you start.

On Brillay that offer is Custom Work: you state what the client gets, what you need from them, what is not included, the price, and the delivery time, and the client can attach up to 5 files when they order. No monthly fee, you only pay a small platform fee when you get paid. 8% platform fee when a follower pays for work, 5% platform fee on tips and goals. Card processing is separate (pricing). Related reading: how much to charge for a mini-audit or feedback and the marketing-consultant version of the same offer.

What is a paid data or dashboard audit service?

A paid data or dashboard audit is a bounded, one-time review sold at a fixed price: the buyer sends a dashboard link, a metric definition, or a query, and the analyst returns written findings on what is broken and what to change. It is not a retainer, not ongoing consulting, and not a live walkthrough.

The format matters because a dashboard review needs an attachment. Brillay's Custom Work accepts files from the client at the moment they order — a dashboard link, a spreadsheet export, a query file — and the creator delivers back a written note plus up to 5 files (video, audio, images, PDF, Word, Excel, or PowerPoint, with video or audio up to 20 minutes) and/or a private link for anything larger. The same file-first structure also works for paid sensitivity reads, where the buyer attaches a manuscript excerpt instead of a dashboard.

Payment happens before the work does. Brillay states that a client pays upfront at checkout, with no account to create and no app to install; the request then lands in the creator’s inbox as a private message (how it works). Brillay also states that you deliver on your own time within the delivery time you set — no live call, no scheduling.

Who pays for a data or dashboard audit, and why?

Buyers are mostly the people who built the thing themselves: a solo founder with a Looker Studio dashboard, a small-team analyst finishing a first attribution model, a student with a class project. They want one outside check before they trust a number in a decision, and they have no in-house reviewer to ask.

The demand signal is measurable in the field's own survey data. The dbt Labs 2026 State of Analytics Engineering Report found that the share of respondents who say increasing trust in data and data teams is important rose from 66% in 2025 to 83% in 2026 (dbt Labs, State of Analytics Engineering 2026). That report is based on 363 survey responses from data practitioners and leaders collected between 5 December 2025 and 1 February 2026, of whom 73% identified as practitioners and 27% as managers or executives (dbt Labs).

"Poor data quality continues to be the most frequently reported obstacle across organizations." — dbt Labs, State of Analytics Engineering 2026

Four more figures from that same primary report describe the market a paid audit sells into. Every row is a 2026 measurement from the 363-response dbt Labs survey fielded 5 December 2025 to 1 February 2026.

Finding from the dbt Labs 2026 State of Analytics Engineering Report2026 figurePrior-year figureSource
Concerned about hallucinated or incorrect data reaching stakeholders71%Not reported for 2025dbt Labs, State of Analytics Engineering 2026
Prioritize AI-assisted coding in their development process72%Not reported for 2025dbt Labs, State of Analytics Engineering 2026
Prioritize AI-assisted pipeline management (testing, observability, quality controls)24%Not reported for 2025dbt Labs, State of Analytics Engineering 2026
Cite data literacy among stakeholders as a barrier36%39% in 2025dbt Labs, State of Analytics Engineering 2026

The distance between rows two and three is the business case for an outside audit: three times as many analytics teams are investing in AI-assisted code generation as in AI-assisted testing and quality control, per the dbt Labs 2026 State of Analytics Engineering Report. Output is scaling faster than checking, and the checking is what a paid audit supplies.

Spending points the same way. 57% of respondents to the dbt Labs 2026 State of Analytics Engineering Report reported increased warehouse and compute spend against 36% reporting increased team budgets — more data infrastructure per analyst-hour available to review it. The share of respondents citing "integrating data from various sources" as a top challenge fell from 35% in 2025 to 27% in 2026 (dbt Labs), so the remaining pain is interpretive rather than technical: exactly what a written audit addresses.

A founder with no analyst on staff feels all of this as one specific fear — shipping a wrong number — and that is the fear a $95 second pair of eyes removes.

Should a request be a quick answer or a full audit?

Route each incoming request by one test: does the analyst have to open a file? Anything involving a dashboard, spreadsheet, or query needs the two-way file exchange that Custom Work provides.

RequestBetter-fit formatWhySource
One-line sanity check, no attachmentPaid QuestionAnswerable without opening a file; text-only both directionsBrillay, Paid Questions
Dashboard, spreadsheet, or query filecustom request auditClient attaches the file at order; creator returns a note plus up to 5 files or a private linkBrillay, Custom Work
Ongoing weekly reporting supportOutside Brillay's scopeA custom request is one deliverable with one price and one delivery time; Brillay publishes no retainer or subscription offerBrillay, Custom Work

What should a data-audit deliverable include?

A data-audit listing should fix four things before the client pays: the input accepted, the metrics in scope, the format of what comes back, and what is excluded. Followers pay upfront; you can decline a request.

At minimum, specify:

  • Input: one dashboard link, spreadsheet export, or query — not an open-ended "look at everything."
  • Scope: which metrics, tabs, or queries are covered.
  • Deliverable: written notes, an annotated file, or a short voice walkthrough — Brillay caps video or audio attachments at 20 minutes each and 5 files per delivery.
  • Exclusions: implementation, ongoing support, or a full data-model rebuild.
  • No revisions: Custom Work uses one defined delivery, so state that clients receive one set of written findings.
  • Outcome boundary: feedback identifies issues and suggests fixes; it does not guarantee a business result.

What do the bio CTA, intake questions, and audit report look like?

You do not need to ask for support or make every post a sales pitch: put one clear line in your bio naming the audit, fixed price, and delivery time, then use a short intake form and the same report outline for every client. Samples of all three follow — adapt the wording, keep the structure. Brillay collects the client's own files at the moment they order, so the intake questions and the file arrive together.

Sample bio CTA: "Dashboard you don't trust? Send it over — I review one dashboard and return written findings in 48 hours. $95, paid up front, no call."

Sample intake questions (collected with the file on the request form):

  1. What is the dashboard link or file, and can I open it read-only?
  2. What decision does this dashboard or metric actually drive?
  3. Which single number do you trust least right now, and why?
  4. What tool built it (Looker, Power BI, Tableau, Sheets, dbt) and what date range should I use?
  5. Is anything off-limits — tabs, rows, or columns I should not open?

Sample audit report outline (the deliverable, five sections, 1-2 pages):

  1. Verdict — one paragraph: is this safe to make decisions on today, yes or no?
  2. Findings — numbered, each with the exact location, what is wrong, and why it matters.
  3. Fixes — ranked by impact, each with the specific filter, formula, or SQL change.
  4. Definitions — each reviewed metric restated in plain English plus the formula actually used.
  5. Out of scope — what was not checked, and what to send if they want it checked next.

How do you price a data or dashboard audit?

Price each audit as a flat fee per deliverable rather than an hourly rate, so the buyer sees the total before paying, then set that fee by multiplying a published wage benchmark by the hours the review takes. The U.S. Bureau of Labor Statistics reports a median hourly wage of $57.80 for data scientists in May 2025, which is the cleanest public anchor for one analyst-hour.

That $57.80 figure comes from the BLS Occupational Employment and Wage Statistics survey for May 2025, occupation code 15-2051, and corresponds to a median annual wage of $120,230 for data scientists in the same survey (BLS Occupational Outlook Handbook, Data Scientists). The BLS also puts a floor under the range: the lowest 10 percent of data scientists earned less than $67,240 a year in May 2025 (BLS Occupational Outlook Handbook), which works out to about $32 an hour at 2,080 hours and is the lowest defensible anchor for an audit's implied hourly rate. A second primary source points the same way: among analytics practitioners in North America, more than 80% report earning over $100,000 a year (dbt Labs).

The prices below are illustrative examples derived from the $57.80 BLS May 2025 median hourly wage, not Brillay earnings data and not a guarantee — actual pricing depends on scope, seniority, audience, and demand.

OfferExample list price (illustrative)Hours assumed at the $57.80 BLS benchmarkDeliverabledelivery time
Dashboard Health Check$60-$1201-2Written notes on one dashboard's structure, filters, and calculations24-48h
Metric/KPI Definition Review$60-$1201-2Notes on whether a metric is defined and calculated consistently24-48h
Query or Script Review$90-$1751.5-3Line-by-line notes on one sent SQL query or script24-48h
Reporting Workflow Audit$230-$4604-8Full review of a recurring report with a written recommendations list72-120h

Run the take-home math before publishing a price. On an illustrative $120 audit paid by a US domestic card, the two published fees leave about $106.62 before income tax:

LineAmount on a $120 auditSource
List price$120.00Illustrative example, not Brillay earnings data
Brillay platform fee, 8%−$9.608% when a follower pays for work; 5% on tips and goals
Stripe card processing, 2.9% + $0.30−$3.78Stripe pricing: 2.9% + $0.30 per successful transaction for domestic cards
Take-home before income tax$106.62$120.00 − $9.60 − $3.78

Timing matters as much as the amount. Stripe states that funds from a card payment become available in the Stripe balance 2 business days after the charge for US accounts (Stripe Docs, Balances), and Stripe schedules a new account's initial payout to complete within 7–14 days (Stripe Docs, Payouts) — so the first audit's money lands later than every audit after it.

A non-US buyer changes that $106.62 figure: Stripe's published pricing adds 1.5% for international cards and a further 1% when currency conversion is required, on top of the 2.9% + $0.30 domestic-card rate. Stripe also lists an additional 0.5% for manually entered card details, so an audit sold to an overseas buyer in another currency can carry roughly 5.4% in processing rather than 2.9%.

How long should a data audit take to deliver?

Set the shortest delivery time you can reliably meet; for Custom Work, you set a delivery window of up to 5 days. A single dashboard or query review usually fits a 24- to 48-hour window.

Give a multi-tab reporting audit 3–5 days rather than promising same-day delivery for a large scope. Brillay states that the creator delivers within the delivery time they set and that there are no live video calls or appointments to schedule.

Do you need a certification to sell data audits online?

No certification, degree, or portfolio review is required to list a custom request on Brillay, and there is no follower minimum either. Describe your experience accurately, avoid presenting the service as a formal compliance audit, and check any professional rules that apply where you work.

"If you are a business owner or contractor who provides services to other businesses, then you are generally considered self-employed." — IRS, Independent Contractor (Self-Employed) or Employee?

Tax obligations start at a low dollar figure, not at a credential. The IRS requires a US taxpayer to pay self-employment tax when net earnings from self-employment reach $400 or more for the year (IRS, Self-Employment Tax (Social Security and Medicare Taxes)). The IRS sets that self-employment tax rate at 15.3%, made up of 12.4% for Social Security and 2.9% for Medicare.

A form arriving or not arriving does not change that. Under the One Big Beautiful Bill, the Form 1099-K reporting threshold reverted to gross payments exceeding $20,000 and more than 200 transactions, per IRS guidance posted 17 November 2025 (IRS, Form 1099-K FAQs). The IRS states that gig-economy income must be reported on a tax return even when it is not reported on an information return such as a Form 1099-K, 1099-MISC, 1099-NEC, or W-2. The IRS also requires estimated tax payments from individuals who expect to owe $1,000 or more in tax when the return is filed (IRS, Estimated Taxes), a line a working audit offer crosses well before it feels like a business. Analysts outside the US report the income under their own country's self-employment rules; in either case, avoid implying a formal audit, certification, or compliance guarantee the review does not provide.

What else can pair with a data-audit offer?

A data audit sells better alongside cheaper and unrelated offers, so smaller asks are neither forced into a full audit nor turned away. One Brillay link can show Paid Questions, Personalized Videos, Custom Work, Tips, Goals, and Brand Collaboration Inquiries; paid requests have a price and delivery time, while Brand Collaboration Inquiries collect a brand’s budget, timeline, and deliverables into a separate brand inbox.

Five offers pair naturally with a data-audit listing:

  • Paid Questions: A single written question about one metric or definition, answered in writing without opening a file — the smaller ask beside a full dashboard audit.
  • Personalized Videos: Personalized Videos let a follower pay for a short recorded congratulations or encouragement video, delivered within the time the creator sets and unrelated to data work.
  • Tips: Tips let a supporter send a one-time amount, with nothing to deliver and no reply required, using suggested amounts the creator sets.
  • Goals: A Goal is one named funding target with a progress bar, funded by supporters' contributions — for example, funding time to build a public dashboard template.
  • Brand Collaboration Inquiries: the right route when an analytics tool or SaaS vendor wants to pitch a partnership instead of book a one-off audit — their budget, timeline, and deliverables land in a separate brand inbox, not the audit queue.

For the same pattern applied outside data work, see how career and business coaches scope an async audit.

Frequently asked questions

The questions analysts ask most before listing a paid data or dashboard audit cover six things: what to charge for a first audit, whether a degree is required, when a quick paid question beats a full audit, how many revisions to include, what selling an audit on Brillay costs, and whether any minimum audience size applies.

What should I charge for my first paid dashboard audit?

Anchor the first price to hours multiplied by a published benchmark instead of guessing. The BLS reports a median hourly wage of $57.80 for data scientists in May 2025 and a median annual wage of $120,230 in the same survey (BLS Occupational Outlook Handbook), so a one-hour dashboard health check lands near $60 and a full-day reporting audit near $460. Those figures are illustrative examples, not guaranteed rates.

Do I need a data science degree to sell a paid dashboard audit?

You can list Custom Work without a degree, certification, or portfolio review. Describe your actual experience accurately and keep the audit's scope narrow rather than implying a formal credentialed assessment.

What's the difference between a quick question and a full audit?

A Custom Work audit lets the client attach the file at order and lets the creator return a written note plus up to 5 files or a private link, so it fits any request that needs a dashboard, spreadsheet, or query reviewed directly.

How many revisions should a data audit include?

State the no-revision terms in the listing itself — for example, one-time written notes only. Custom Work uses one defined delivery, so say exactly what the client receives and what is outside the price.

What does Brillay charge for a data-audit offer?

On an illustrative $120 audit the platform fee is $9.60, and Stripe's card processing is a separate $3.78 (2.9% + $0.30 per successful transaction for domestic cards), leaving about $106.62 before income tax.

Is there a minimum audience size to start selling audits on Brillay?

No. There is no follower minimum or application, so you can list an audit even if your audience is small.

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