Structured work-sample screening for SMB roles under 200 applicants
A hiring tool for small-business recruiters that replaces resume/ATS scoring with short, job-specific work-sample tasks to separate genuine capability from AI-polished applications.
15 signals across 2 platforms, including 2 showing money already moving.Evaluated Aug 14, 2026 · thresholds published at /methodology
Supporting evidence3
Small business recruiters explicitly report being overwhelmed by 200+ mostly AI-generated resumes per role and cannot identify qualified candidates.
Hiring managers and teams say resume signal is decaying and existing screening scores are inflated and evidence-free, motivating a search for a new signal.
Multiple products already attempt adjacent fixes (culture-fit checks, behavior dashboards beyond resumes) showing willingness to buy non-resume signals, though none directly deliver verified work-sample scoring.
Falsifying evidence4
Most of the 15 signals are jobseeker-side pain (ATS optimization, resume tailoring, keyword visibility) not employer-side, so demand for an employer-facing work-sample tool is inferred, not directly stated.
An HR dashboard product already claims to assess candidate/employee behavior beyond resumes, an easy feature for an incumbent ATS or HR platform to extend into work-sample scoring.
Free or near-free workarounds exist: resume tailoring and screening tools are proliferating rapidly on Product Hunt (13 listings in 90 days), suggesting a crowded, commoditizing niche where a new entrant's assessment tool could be undercut by bundled freemium features.
No competitor products were recorded in our data for this exact segment, so competitor_gap cannot be treated as validated whitespace — absence of data is not absence of competition.
Most likely cause of death
The product gets built as a clean work-sample assessment tool but SMB recruiters, who are price-sensitive and already drowning in point-solution signups (evidenced by the PH flood), either don't adopt a new standalone workflow step or an existing ATS/HR dashboard vendor ships a 'beyond resume' scoring feature as a bolt-on, undercutting on price and integration. Defensibility would require owning a proprietary, hard-to-fake task bank or benchmark data that an ATS incumbent can't quickly replicate — the current evidence gives no indication such an asset exists or is being built.
Demand ladder
A complaint is not a customer. Weighted ×1 / ×3 / ×8 / ×15.
Verified revenue: none on file for this problem yet. That is an absence of records, not proof nobody is earning here.
Momentum
Is this problem getting louder or quieter?
Saturation
How many people are already on it. Most sites hide this.
Problem evidence
Who feels this, how often, and why what they use today does not fix it.
- Who feels it
- Owner-operators, office managers and single-person HR/recruiting functions at small businesses (roughly 5–200 employees) who run hiring themselves alongside other work, for non-specialist roles (ops, admin, support, junior marketing, junior dev) that attract high application volume. Secondary: hiring managers at larger firms who no longer trust resume screens.
- How often
- Per open role. For an SMB that means episodic — a few roles a year for most, monthly for a growing one. The pain spikes in the 72 hours after a posting goes live and the inbox fills. This is a burst pain, not a daily one, which matters for subscription pricing.
- Why current fixes fail
- The screening layer everyone relies on — keyword/ATS scoring on resumes — is now being optimised against by a large and growing set of free jobseeker tools that show applicants exactly which keywords they are missing and generate compliant resumes (S-2714, S-2807, S-2272, S-3022, S-2563). The result is score compression: at 200 applicants nearly everyone looks like a match, so the ranked list no longer ranks. AI resume scorers that sit on top add a number without evidence behind it (S-2594). The SMB's fallback is a 20–30 minute phone screen, which at even a 20-candidate shortlist is a full working day for someone who does not have a working day spare, and it is done by a person with no interviewing training. Nothing in this evidence block shows an SMB successfully replacing that step; the tools they name are mostly on the applicant side of the same arms race.
Small businesses now receive 200+ applications per role and most are AI-generated, making qualified-candidate identification the bottleneck.
Hiring managers state directly that the resume's value as a signal is degrading because of AI and that a replacement signal is an open question.
The bulk of the pain in this block is jobseeker-side (ATS parsing visibility, keyword coverage, resume tailoring), not employer-side, so employer demand for a work-sample tool is inferred rather than stated.
The proliferation of applicant-side ATS-optimisation tools is the mechanism that destroys resume-score discrimination — the same signal set contains both the screening layer and its counter-measure.
Resume-scoring products are already distrusted by at least one user as producing flattering, evidence-free numbers, which is the wedge a work-sample product would claim.
Adjacent employer-facing products already market 'beyond the resume' assessment (behavioural HR dashboards, culture-fit checks, peer-verified trust scores), so the positioning is not novel and an incumbent can extend into work samples.
The category is crowding fast: 16 of 18 signals are Product Hunt launches in a ~90-day window, indicating a commoditising niche where features get bundled free.
Application volume pressure is set to increase: agents are already submitting applications at volume with no employer-side verification protocol, which raises the value of any employer-side proof-of-capability step.
Who buys it
The person who feels the pain and the person who signs are rarely the same.
- User
- The person who reads the applications: SMB owner, office/ops manager, or a one-person HR generalist. They are also the person who would write or approve the task and read the scored results.
- Buyer
- In a 5–50 employee company, the same person — the owner or GM signs a $99–$299/month tool without a procurement process. In a 50–200 employee company, the HR lead signs and the CFO/owner approves anything above roughly $2k/year (assumption; no signal in this block states SMB approval thresholds).
- Pain owner
- The hiring manager for the specific role, because they carry the cost of a bad hire and of the weeks the seat stays empty. Note that in the evidence the loudest pain owner is actually the applicant, not this person (X-208).
- Budget source
- Discretionary hiring/recruiting spend for the open role — the same line that funds job-board promotion. The relevant anchor is what they would otherwise pay a recruiter or spend on paid job posts, not an HR software line item, since most SMBs at this size have no HR software budget (assumption).
- Urgency
- Only urgent while a role is open. That is the core commercial problem: the pain is episodic, so a monthly subscription is being sold into a burst need. Urgency this quarter exists only for companies actively hiring and actively burned by a recent bad hire or a 200-application flood (S-2932).
- Already spending on
- SiftFirst — named in the small-business application-flood signal (S-2932); role and price…Carriv — named in the evidence set; role and price unverifiedScoritly — named in the evidence set; role and price unverifiedATS Checker — applicant-side ATS parsing preview (S-2807)LinkedIn — job posting and candidate sourcing (S-3062 context)Playwright / Browser Use / MCP — infrastructure named by the agent-application signal…
Product concept and MVP
Two versions: the one you deliver by hand first, and the one you build.
A per-role screening step for SMBs hiring under ~200 applicants: pick the role, get a 15–25 minute job-specific work-sample task, send one link to every applicant, receive a ranked shortlist with the actual submitted work and a rubric score attached to each. Sold per role, not per seat, because the pain is per role.
Concierge version
No software. Ten users, done by hand. This is how you find out you are wrong for the price of a weekend.
Entirely manual and it should stay manual for the first ten roles. Founder finds ten SMBs with a live posting. For each: 45-minute call to understand the role, then the founder hand-writes one task (a real slice of the job — draft this customer reply, clean this spreadsheet, triage these five tickets) plus a 5-point rubric. Task goes out as a Google Doc/Form link via the customer's own email or a bcc. Founder grades every submission by hand against the rubric and returns a one-page ranked shortlist within 48 hours, with the raw submissions attached. Price $250 per role, invoiced by hand. Zero software. This tests the two things that actually matter: whether an SMB will pay for a graded shortlist, and whether candidates complete an unpaid 20-minute task at acceptable rates.
Vibe-coded version
What a build platform can scaffold, and what you write yourself.
One-page role setup (job title + 3 responsibilities) → LLM drafts task + rubric, founder edits → shareable candidate link with timer and text/file submission → LLM grades against the rubric and emits a score with the two rubric lines that drove it, plus the raw submission → ranked table the hirer sees. Email delivery via a transactional provider. No accounts for candidates, no ATS integration, no anti-cheat. Buildable in 3–5 weeks by one person.
Must have
- Task generation for a named role that a hiring manager will actually send without rewriting it
- Candidate submission flow with no signup, working on mobile, under 25 minutes
- Scores that show the evidence: the submitted work and the rubric line, never a bare number (direct response to S-2594)
- Completion-rate reporting per role, so the hirer sees how many of their 200 applicants engaged
- Per-role pricing and self-serve card payment
Nice to have
- Task library by role family so setup drops under 3 minutes
- Side-by-side comparison of top 5 submissions
- Branded candidate landing page
- Automatic rejection emails for below-threshold submissions
Not yet
- Anti-cheat / AI-use detection or proctoring — expensive, adversarial, and unwinnable; instead design tasks whose output is judged on judgement rather than recall
- ATS integrations — no ATS is named anywhere in this evidence block, so integration targets are unknown and would be guessed
- Personality, behavioural or culture-fit scoring — adjacent products already claim this ground (S-532, S-2078) and it dilutes the capability claim
- Cross-company benchmark data / percentile scores — needs volume you will not have in year one
- Any jobseeker-facing product, despite it being where most of the demand signal actually is (X-208) — that is a different company
- Enterprise features: SSO, EEOC/adverse-impact reporting, multi-stage pipelines
- Integrations
- Email (Gmail/Outlook send-as, or bcc-to-invite so it works with any ATS or inbox) · Stripe for per-role payment · CSV import of applicant emails and CSV export of ranked results · LinkedIn job post URL as a role-description input (LinkedIn is the only sourcing tool…
- Build difficulty
- 3/5 — Technically shallow — forms, email, an LLM grader. The difficulty is not code, it is producing tasks and rubrics good enough that a hiring manager sends them to real candidates, and getting candidates to complete unpaid work. Both are content and behaviour problems, not engineering ones.
Competitors and alternatives
Including the free workaround people use today, which is usually the real competitor.
Direct
- SiftFirst — named in the SMB 200-applications signal (S-2932); appears to address the same buyer, function unverified
- The unnamed HR Dashboard product that assesses candidate behaviour beyond resumes (S-532)
- No Bad Hire, the culture-fit screening product described in S-2078 (name as given in the signal text)
Indirect
- Carriv (named in the evidence set, role unverified)
- Scoritly (S-2594 context: resume scoring tools that output a flattering number)
- Peer-verified proof-of-work / trust-score products (S-3187)
- Referral-network bypass products such as Refer-Me IN (S-3062) — same goal, different mechanism: skip screening via human trust
- Compensation-first matching that suppresses application volume before screening (S-2748)
Workarounds
- Keyword/ATS resume scoring the SMB already has, now degraded by applicant-side optimisation tools (S-2714, S-2807, S-2272)
- ATS Checker and similar free applicant-side tools — evidence that the arms race is one-sided and free on the other side (S-2807)
- Manual 20–30 minute phone screens on a self-selected shortlist
- Reading the first 30 applications and closing the posting
- Ad-hoc unpaid take-home tasks written in the hiring manager's own words and emailed as an attachment, graded by gut
- Referrals and personal networks, plus LinkedIn browsing, to avoid the applicant pool entirely (S-3062)
| Product | Customer | Pricing | Strengths | Weaknesses | Gap |
|---|---|---|---|---|---|
| SiftFirst | Small businesses receiving 200+ applications per role | Unknown — no pricing in this evidence block | Already speaking to the exact buyer and framing the exact problem (S-2932); launched and visible on Product Hunt | Mechanism unverified; if it is resume-based sifting it inherits the score-compression problem | If SiftFirst ranks resumes, the wedge is that its output is unfalsifiable while a work sample is inspectable |
| HR Dashboard behavioural assessment product (S-532, name not recorded) | HR teams doing hiring plus talent development | Unknown | Broader account footprint (hiring, leadership, team building) so it can amortise price across use cases | Behavioural inference, not demonstrated work output | Named by counter-evidence X-209 as the most likely bolt-on threat: it can add work-sample scoring cheaply. Assume it will. |
| No Bad Hire (S-2078) | Companies worried about culture/values fit | Unknown | Clear differentiated claim against CV/skill tools; emotionally resonant with owners who have been burned | Measures fit, not capability; hard to defend against a bad-hire outcome | Capability evidence is complementary, not competitive — possible partner or a signal that buyers segment by fear type |
| ATS Checker (S-2807) | Job applicants | Unknown, likely free/freemium | Directly shows applicants what screening software reads | Applicant-side only | Not a competitor — the proof that resume-based screening is being systematically defeated, which is the argument to sell to employers |
| Scoritly / Carriv | Unclear from this block — named once each, side of the market unverified | Unknown | Unknown | Unknown | Must be checked manually in week one; do not model against them until their actual function is confirmed |
Zero products with verified revenue were recorded (X-211), so this reads as whitespace and is not. The realistic picture: several launched products already target 'beyond the resume' assessment for employers, at least one names the identical SMB application-flood problem, and the applicant-side of the market is flooded with free tools. Nothing here suggests a defensible position from software alone. The only asset that would hold — a proprietary, hard-to-replicate task bank with outcome data behind it — does not exist and would take years and hiring outcomes to build.
Pricing model
modelledA proposal, not an observation. Benchmarks come from the data; the ladder is ours.
Per open role, one-off, with an optional annual plan for repeat hirers. Per-role matches the burst nature of the pain and lets the buyer expense it against the role rather than adopting new software. Reject per-seat: SMBs have one seat.
Single role
$249 per role, unlimited applicants on…
SMB hiring one role now; the concierge price point, kept identical after automation
Hiring pack
$599 for 3 roles within 12 months
Growing SMB with 2–4 hires a year; discount buys commitment without a subscription
Always hiring
$199/month, unlimited roles
Agencies, staffing shops, franchise and hospitality operators with continuous churn — the only segment where a subscription is honest
What the space charges
| No pricing data in this evidence block | n/a | Zero products recorded with revenue or price (X-211); none of the 8 named tools has a price in any signal. Every number above is an assumption, not a benchmark. |
| Internal anchor: recruiter fee | 15–20% of first-year salary (assumption, not in evidence) | Used only as the framing argument in a sales call; must be verified against what the first ten interviewees actually paid for their last hire |
| Internal anchor: hiring manager time | 20 phone screens × 25 min ≈ 8 hours | Derived from the shortlist assumption below, not from a signal. This is the cost the $249 replaces. |
Confidence in this pricing: low
Revenue scenarios
modelledArithmetic on the assumptions listed underneath. Change an assumption and the number changes.
| Case | Customers | ARPA / mo | MRR | ARR |
|---|---|---|---|---|
| base | 20 | $42 | $840 | $10,080 |
| upside | 60 | $62 | $3,720 | $44,640 |
| aggressive | 200 | $83 | $16,600 | $199,200 |
Assumptions behind these numbers
Disagree with one of these and the table above is wrong. That is the point of listing them.
- Horizon for all cases: 12 months from first paying customer.
- ARPA is monthly-equivalent, derived from episodic per-role purchases. Base: an average customer buys 2 roles/year at $249 = $498/year = $41.50/month equivalent. Upside: 3 roles/year at $249 = $747/year = $62/month.
- Base case customer count of 20 assumes founder-led outbound only: ~400 targeted contacts over 12 months, 15% reply, 1 in 3 replies takes a call, 50% of calls buy one role, 60% of buyers repeat once. No paid acquisition, no audience (none is evidenced for this founder).
- Upside assumes the base funnel plus one repeatable inbound source (a Product Hunt launch or a recruiting-subreddit presence) contributing ~40% of customers.
- Aggressive assumes 3 continuous-hiring accounts per 20 customers converting to the $199/month plan and a referral coefficient of ~0.3.
- Candidate completion rate assumed at 25% of invited applicants for a 20-minute unpaid task. This is not evidenced anywhere in the block and is the single assumption most likely to be wrong; below ~10% the product returns too few graded candidates to be worth $249.
- Zero willingness-to-pay evidence exists in this block for employer-side screening. Treat the base case as a hypothesis to falsify in the seven-day plan, not a forecast.
Market size
modelledReachable customers, not a top-down industry figure.
- Target customers
- SMBs (5–200 employees) hiring at least two non-specialist roles a year that attract 50–200 applicants. This block contains no count of such companies, no geography and no hiring-frequency data — the population size is unknown from the evidence available.
- Spend per year
- Modelled, not evidenced: $500–$750 per company per year (2–3 roles × $249). No signal in this block states any employer's screening spend.
- Reachability
- Poor to moderate. The 18 signals came from Product Hunt (16) and Hacker News (2) — audiences of builders and jobseekers, not SMB owners. There is no channel in this evidence block where the target buyer congregates. Reaching them requires outbound against live job postings, which is workable but slow and unmeasured here.
- Obtainable in 3 years
- Modelled: 300–600 paying SMBs at ~$600/year = $180k–$360k/year, assuming founder-led plus one inbound channel and no bundled-competitor price collapse. If an ATS or HR platform ships work-sample scoring as an included feature (X-209), the obtainable figure is materially lower and the ceiling becomes agencies and continuous hirers.
- Comparable
- None available. Zero products with verified revenue are recorded in this block (X-211), so there is no comparable to reason from. Any comparison to public assessment vendors would be imported from outside the evidence and is deliberately omitted.
Go to market
Named places, not channel categories. These signals came from somewhere.
First 10 customers
- Live job postings as the target list: search LinkedIn Jobs (the one sourcing tool named, S-3062 context) for roles posted in the last 48 hours by companies with 10–200 employees, in ops/support/admin/junior marketing.
- Reply in the Hacker News thread behind S-413 ('the quality of resumes as a signal is rapidly decreasing with AI — what should the new signal be') with the concrete task-plus-rubric approach and an offer to run it free for anyone hiring; the commenters there are the only employer-side voices in the…
- The Hacker News thread behind S-2822 (agent-automated applications, Playwright/Browser Use/MCP): the people building application agents know employer-side volume data and will introduce you to employers drowning in it.
- Product Hunt comment sections of the launches in this cluster — SiftFirst (S-2932), the HR dashboard (S-532), No Bad Hire (S-2078), the peer-verification agent (S-3187). Employers who commented on those launches are self-identified buyers of 'beyond the resume' screening.
- r/recruiting, r/AskHR, r/smallbusiness, r/humanresources: search and answer existing threads for 'too many applicants', 'AI resumes', 'take home assignment', 'work sample'. Offer the manual service, not a signup link.
- Search terms to monitor and answer: 'how to screen 200 applicants', 'AI resume flood hiring', 'work sample test small business', 'skills test instead of resume', 'take-home assignment length'.
First 100
- Productise the ten hand-built task+rubric sets into a role library and sell the same role families repeatedly (customer support, bookkeeping/admin, sales development, junior marketing) — narrow beats broad for outbound copy
- Recruiting agencies and staffing shops as multipliers: one agency screening for 30 SMB clients is 30 roles of volume through one relationship
- Case study per role family with real numbers: applicants invited, completion rate, hours saved, who got hired and whether they stayed 90 days
- Product Hunt launch, timed after 20 paying customers, positioned against evidence-free resume scores (S-2594) rather than as another screening tool
- Partner (not integrate) with the referral/verification products in this space (S-3187, S-3062) — same buyer, non-overlapping mechanism
Scalable channels
- Programmatic outbound off freshly posted SMB job ads — the only channel with a natural trigger event
- SEO on long-tail role-specific queries: 'work sample test for a bookkeeper', 'customer support screening task template' — free templates as the top of funnel, graded screening as the paid step
- Agency/staffing reseller channel
- Job-board or payroll platform partnership as a distribution deal (unvalidated: no such platform appears in this evidence block)
What will not work
- The buyer does not congregate anywhere in the evidenced sources; Product Hunt and Hacker News reach builders and jobseekers, not SMB owners (source spread: PH 16, HN 2)
- Free templates as the SEO strategy may satisfy the need entirely — the hiring manager copies the task and grades it themselves
- Candidate-side backlash to unpaid tasks can turn into a public complaint that damages the buyer's employer brand, making them cautious about sending it
- Per-role purchasing means no compounding MRR; growth requires constant new-role acquisition unless the agency channel works
- An incumbent bundling this free (X-209, X-210) collapses the price before the outbound machine pays back
Roadmap
Each version ships something a user can use. No infrastructure-only phases.
- 10 SMBs with live postings; first 3 roles screened free, roles 4–10 at $249
- Hand-write 10 task+rubric pairs; keep every one in a repo as the seed of the task library
- Measure and record: applicants invited, completion rate, time-to-shortlist, whether the hirer interviewed the top 3, whether they hired from them
- No code beyond Google Forms, a spreadsheet and email
- Role setup → LLM-drafted task and rubric with human edit step
- Candidate link, no-signup submission, timer, mobile-safe
- LLM grading that always surfaces the submitted work and the two deciding rubric lines (never a bare score)
- Ranked shortlist view, CSV in/out, Stripe per-role checkout
- Task library across the 4 best-selling role families
- Completion-rate and time-saved reporting the buyer can show their boss
- Automated candidate rejection/advance emails
- $199/month always-hiring plan and agency multi-client accounts
- 90-day outcome follow-up on every hire made through the product
- Per-task predictive-validity reporting, retiring tasks that do not discriminate
- Benchmark percentiles per role family once >200 graded submissions exist in that family
- Only after outcome data exists: pursue ATS integrations, using whichever ATS the first 50 customers actually name
Pivot paths
Where this goes if the first version does not land — and the number that says it did not.
Sell to recruiting agencies and staffing firms instead of SMBs
Agencies hire continuously, have a real budget line for screening, and one account carries dozens of roles. Fixes the episodic-purchase problem that makes SMB subscription pricing dishonest.
Flip to the applicant side: portable, verified proof of work
13 of 18 signals are jobseeker pain (X-208) and applicants are already paying for resume tools. S-3187 shows demand for portable verifiable proof. The pivot is to make candidates the customer and employers the free consumers of the artifact.
Verification layer for agent-submitted applications
S-2822 is the highest-severity spend signal in the block and describes missing infrastructure: no trustworthy protocol for agent-automated applications, agents fighting ATS forms with Playwright/Browser Use. A capability-proof artifact is exactly what makes an agent submission verifiable, and this buyer is technical and already spending on tooling.
Narrow to one role family and sell the task bank, not the software
If SMBs will not adopt a workflow step but will buy content, a paid library of validated tasks and rubrics for a single role family is a smaller business with a shorter path to first revenue and no incumbent bundling risk.
Pivot trigger
Pivot if, by day 45 after starting outreach, fewer than 4 of 10 free concierge screenings converted to a paid second role, OR average candidate completion rate across those 10 roles is below 15%. Choose the agency path if the blocker was purchase frequency; choose the applicant-side or agent-verification path if the blocker was employer indifference to the shortlist.
Risks and kill criteria
The thresholds at which the honest move is to stop. Written before you are attached to it.
Kill criteria
If one of these is true, stop. The value of writing them now is that you will not want to later.
- By day 7: if fewer than 12 of 40 SMBs contacted with live job postings reply at all, the channel does not exist — stop before building.
- By day 14: if fewer than 6 of 20 interviewed hiring managers have sent a take-home task or work sample to a candidate in the last 90 days, they will not adopt this step — stop.
- By day 30: if fewer than 3 of the first 10 concierge screenings produce a hire-relevant shortlist the manager actually interviews from, the output is not useful — stop.
- By day 45: if fewer than 4 of 10 concierge customers pay $249 for a second role, per-role willingness to pay is not there — pivot per trigger above.
- By day 45: if average candidate completion rate across all concierge roles is below 15% of invited applicants, the mechanism fails regardless of buyer enthusiasm — stop or redesign to paid tasks.
- By day 90: if any ATS or HR platform named by three or more of the first 20 interviewees has shipped built-in work-sample scoring, stop selling the standalone tool and re-enter via the agency channel only.
Validation plan
Seven days that cost nothing but time and can kill the idea before you build.
The next 7 days
- Day 1Resolve the unknowns in the evidence block: find out what SiftFirst, Carriv and Scoritly actually do and charge. Sign up for each. Write one page on whether any is already this product. If one is, and it has traction, stop here.
- Day 2Build a list of 40 SMBs (10–200 employees) that posted an ops/support/admin/junior-marketing role on LinkedIn in the last 72 hours, with a named hiring contact. No tooling spend — manual search.
- Day 3Send 40 individual emails offering to hand-screen the applicants for that specific role, free, and return a ranked shortlist with the candidates' actual work in 48 hours. Ask for a 20-minute call first. Track reply rate.
- Day 4Post in the Hacker News thread behind S-413 and in r/recruiting and r/smallbusiness: describe the task-plus-rubric method concretely, offer to run it free for one role. Measure whether any employer self-identifies.
- Day 5Run the first 5 interviews. For each, get numbers not opinions: applicants on their last role, hours spent screening, whether they used a take-home task, what they paid for their last hire, what they would pay for a graded shortlist.
- Day 6Hand-write task + 5-point rubric for the two most promising roles and send to their applicant pools via the hirer's own email. Log invited count and start the completion-rate clock.
- Day 7Score the week against the day-7 and day-14 kill criteria. Write the reply rate, the count of interviewees who have used a work sample in 90 days, and the first completion-rate data point.
Ask them this
Questions about what they did, not what they would do.
- Walk me through the last role you filled: how many applications, and what did you actually do with them in the first 48 hours?
- How many of those applications looked AI-written to you, and how did that change what you did?
- Have you sent a candidate a task, test or take-home in the last 90 days? Show me what you sent and how you decided who passed.
- If you did send one: what fraction of candidates completed it, and did you keep doing it on the next role? If you stopped, why?
- What did your last hire cost you in fees, ads and your own hours? Who signed off on that spend?
- What tool ranks or scores applicants for you today, and do you believe the score? Have you ever overridden it?
- If I handed you a ranked list of 8 candidates with their actual work attached tomorrow morning, what would you do with it — and what would you stop doing?
- What would make you not send a 20-minute unpaid task to your applicants?
Sources and freshness
Every reference opens the original post. This is the part you should check first.
How sure are we, per claim
Where the data is thin, we say so instead of rounding up.
- demand
- Low
- payment
- Low
- market size
- Low
- competitor gap
- No data
20 references from 15 signals · evaluation written Aug 14, 2026.
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Turn this into a spec
One Universal Core, then the exact file layout your platform expects — CLAUDE.md, .cursor/rules, a Lovable knowledge base, a Bolt prompt under its 400-word ceiling. Evidence travels with it.
Reading an open idea needs nothing. Generating a spec from it calls a model and costs real money, so it needs an account and credits — the cost is shown before you spend anything.