Best tools to research a scheduling or booking software idea, and which segment to pick
Scheduling is six different markets, split by who books. Here are the tools that measure demand in each one, ranked, and a worked research path on the segment with the strongest signal.
By Om Patel, Founder, BigIdeasDB · 18 min read · Data verified November 14, 2026
2,096
Scheduling and booking companies in the Stripe Index
12.3%
Of them sell software (257)
3.0x
Payment complaints in salon and fitness booking reviews vs baseline
What is the best tool to research a scheduling or booking software idea?
Short answer
BigIdeasDB is the best tool to research a scheduling or booking software idea. It counts what the other tools only describe: 2,096 scheduling and booking companies in the Stripe Index, 257 of them (12.3%) selling software, complaint themes from 40 Capterra categories split by who books, TrustMRR revenue, and 15,000+ booking-heavy businesses for sale.
Our data shows one pattern first. In salon, fitness, medical and professional services booking software, payments and deposits are mentioned in 7.0% to 7.9% of written complaints against 2.6% across all Capterra reviews, 2.7x to 3.0x. Calendar sync and double booking peak only in general scheduling tools, at 3.0x.
A scheduling or booking software idea is a product that lets one kind of business take, confirm and get paid for appointments, classes or reservations. The research question is never whether booking software exists. It is which kind of business that books is still badly served, and which single job inside it is worth a paid product.
Most pages that rank for this topic are lists of scheduling products to buy for your own business. This one is for the person building the product. It covers the tools that measure demand, then cuts the evidence by who books: patients, salon clients, class members, home service customers, consultants' clients and diners. For the complaint detail by product type, read our appointment scheduling software complaints study; for 12 ranked build ideas, see scheduling and booking app ideas. This page adds the research tools and the segment cuts.
The US Small Business Administration lists "demand," "market size" and "market saturation: how many similar options are already available to consumers" among its six market research questions (SBA market research guide). The tools below answer them for booking software, in rank order.
What are the best tools to research a scheduling software idea?
BigIdeasDB is ranked #1 of the 8 approaches below. The ranking test is one question: does the tool show whether the businesses that book are unhappy with their software and willing to pay to fix it? Only BigIdeasDB measures both at once. The rest are honest general-purpose helpers, and each has a job in the research path further down. For other research jobs, see the best tools to find a SaaS niche, estimate market size and check market saturation.
Slow, small samples, polite answers; cannot pick the segment for you
Source: BigIdeasDB review of each approach against the booking software research question, November 14, 2026. Ranking criterion: measures complaints and payment, not rival popularity.
Which type of business that books has the strongest software signal?
Medical and patient booking has the highest dissatisfaction: 7.8% of 7,100+ reviews are 1-2 stars, 2.2x the 3.5% baseline across 273,000+ Capterra reviews. Salons show the sharpest reminder and no-show signal at 3.3x. In every vertical, payments sit at 1.9x to 3.0x the baseline.
We grouped 40 Capterra categories into seven segments by who books. Each segment pools every product listed in its categories and counts each review once. We then measured the share of written complaints that mention each theme, against all Capterra reviews with a written complaint (270,000+). The baselines are 2.6% for payments, 1.4% for reminders and no-shows, 1.4% for calendar sync and double booking, and 7.7% for support.
Who books
Categories and products
Sample
1-2 star
Payments, deposits, billing
Reminders, no-shows
Calendar sync, double booking
Read
Medical and patient
6 categories, 325 products
7,100+ reviews
7.8%
7.2% (2.8x)
3.0% (2.1x)
2.7% (1.9x)
Highest dissatisfaction; support also high at 10.7% vs 7.7%
Salon, spa and barber
4 categories, 162 products
3,500+ reviews
6.9%
7.8% (3.0x)
4.6% (3.3x)
3.8% (2.7x)
Sharpest reminder and no-show signal of any segment
Fitness and classes
7 categories, 251 products
5,400+ reviews
5.0%
7.9% (3.0x)
2.4% (1.7x)
2.9% (2.1x)
Money is the pain: memberships, packs and billing
Home and field services
11 categories, 409 products
8,700+ reviews
4.3%
5.0% (1.9x)
1.6% (1.1x)
2.2% (1.6x)
Mild in reviews; reporting 7.3% vs 5.8%. The case is thin supply
Professional services and consultants
6 categories, 302 products
6,500+ reviews
4.7%
7.0% (2.7x)
2.2% (1.6x)
3.8% (2.7x)
Billing and calendar sync run together
Restaurants and reservations
3 categories, 304 products
6,500+ reviews
6.5%
5.7% (2.2x)
2.0% (1.4x)
3.3% (2.4x)
Support is the loudest theme: 11.2% vs 7.7%
General scheduling tools
3 categories, 586 products
13,000+ reviews
4.1%
4.8% (1.8x)
3.5% (2.5x)
4.2% (3.0x)
Only here does calendar sync and double booking peak
Source: BigIdeasDB analysis of Capterra reviews and category listings (every product listed in each category, distinct reviews), queried November 14, 2026. Theme share = written complaints (cons) matching word-boundary theme keywords, multiple of the all-review baseline in brackets. Baselines: payments 2.6%, reminders 1.4%, calendar sync 1.4%, 1-2 star 3.5%.
Three patterns stand out. First, the booking engine itself is table stakes in a vertical product. Calendar sync and double booking reach 3.0x only in general scheduling tools and fall to 1.6x in home services. Once a product knows the business type, the complaints move to money. Payments, deposits and billing run at 2.7x to 3.0x in salon, fitness, medical and professional services.
Second, reminders are a salon problem more than a general one. Salon reviews mention reminders or no-shows in 4.6% of complaints, against 3.0% in medical and 1.6% in home services. A typical Capterra review in the patient scheduling category reads: reminders stopped for two to three weeks, then glitched and sent too many. That is a reliability complaint, not a missing feature.
Third, home and field services look quiet in reviews and loud in supply. Their complaint ratios are the lowest of the vertical segments, yet only 4 of 248 Stripe-using home services booking companies sell software (next section). For the field-service side in depth, see the vertical SaaS gap report.
How crowded is each booking segment, and does anyone pay for software?
Crowding differs by 16x across segments. In the Stripe Index, 25.7% of salon, spa and barber booking companies sell software, against 1.6% in home and field services. Overall 257 of 2,096 (12.3%) do, with 104 flagged micro-SaaS (5.0%), against 21.6% and 6.6% across all 30,000+ companies.
The Stripe Index is a census of companies that take payments through Stripe. We use it for density, not company count: how many operators exist for each software product. Where that ratio is high, owners are doing the job by hand or with a general tool. Read our Stripe Index page for the full dataset, and best tools to check market saturation for the method.
Who books
Companies
Sell software
Micro-SaaS
Non-software per software product
TrustMRR earners (booking wording)
Medical and patient
205
13 (6.3%)
3
15
3 earners, median $36
Salon, spa and barber
175
45 (25.7%)
19
3
3 earners, median $39
Fitness and classes
288
29 (10.1%)
4
9
4 earners, median $338
Home and field services
248
4 (1.6%)
3
61
Too few to report
Professional services and consultants
171
22 (12.9%)
15
7
Too few to report
Restaurants and reservations
116
20 (17.2%)
8
5
1 earner
All scheduling and booking
2,096
257 (12.3%)
104
7
81 earners, median $106
Source: BigIdeasDB Stripe Index (scheduling-booking category, 2,096 companies) and TrustMRR (5,700+ earning startups, median $140 MRR), queried November 14, 2026. Software = classed b2b-saas or b2c-saas. Non-software = everything else in the category, including service businesses and marketplaces. TrustMRR earners matched on name or short description wording; MRR is dollars.
The revenue column holds a finding of its own. TrustMRR tracks 5,700+ earning startups with a median of $140 MRR. The 81 whose name or description mentions appointments, booking, scheduling or reservations have a median of $106, and 15 of them (18.5%) earn $1,000 or more, against 23.0% for all earners. Broken out by vertical, each bucket holds only 1 to 4 earners. Indie booking revenue is almost entirely horizontal. Vertical booking products that earn small, visible revenue are close to absent, which is either an opening or a sign that these owners buy from larger vendors. Compare our ranking of sites that show startup revenue.
What do booking-heavy businesses for sale say about software demand?
They show who your customer is and how many exist. The Main Street Index lists 3,370+ salons, spas, barbers and nail businesses for sale, 1,050+ medical, dental and chiropractic practices, and 2,230+ landscaping, HVAC, plumbing and cleaning firms, de-duplicated across 29 sources.
The Software Gap Score compares listings with software supply per industry. Spas and massage (79.4) and beauty services (77.3) score wide open, dental and chiropractic score underserved, and medical practices score served at 48.0. Asking multiples are asking prices, not closed deals. Hair salons ask a median 1.95x seller's discretionary earnings (SDE) and nail salons 1.44x, against 2.5x to 2.6x for gyms and medical practices. SDE includes the owner's own pay, so a low multiple partly reflects buying a job.
Tutoring underserved (51.5); consulting served (21.2)
Restaurants and reservations
7,040+
Restaurants 7,000+ (2.39x, n=2,101)
Underserved (50.0)
Source: BigIdeasDB Main Street Index, de-duplicated listings, Software Gap Score scoring_version 1.2.0, queried November 14, 2026. Multiple = median asking price divided by SDE for US dollar listings with a stated price and SDE above $20,000, with n in brackets. Asking multiples are not closed deals. Counts in the second column are rounded down.
For founders, the buyer profile matters more than the multiple. Most of these businesses have one to a few staff and an owner who works in the business, so a booking product has to onboard in an afternoon and price like a utility. For people who would rather buy one of these businesses and fix its booking stack, our guides to buying a salon and buying a gym break down the listings, and the best tools to find a business to buy and valuation tools for buyers cover the process.
Worked example: how do you research a patient scheduling software idea?
Run six checks in order, each with its own source. We chose medical and patient booking because it combines the highest dissatisfaction (7.8% 1-2 star) with thin supply (13 of 205 companies sell software). The evidence points to a narrow product for small independent practices, not another suite, with willingness to pay still to be earned.
Step
What the data shows
How to read it
1. Complaints
7.8% of 7,100+ medical and patient booking reviews are 1-2 stars, 2.2x the 3.5% baseline. Payments are mentioned in 7.2% of written complaints against 2.6%, and support in 10.7% against 7.7%
A real gap, and the highest dissatisfaction of any booking segment
2. Scored pain points
Capterra scores data migration and extraction in patient scheduling at severity 4.5 and market gap 8.9 of 10 across 27 companies. Manual recurring appointments score 8.2 (23 companies) and limited payment options 7.3 (36 companies, severity 4.5)
Three named jobs, each flagged systemic: import, recurring visits, payments
3. Supply
325 products on Capterra across 6 categories. The Stripe Index holds 205 medical and patient booking companies, 13 selling software (6.3%), 3 flagged micro-SaaS
15 non-software companies per software product: thin, but many are clinics, not rivals
4. Revenue
TrustMRR matches 3 earning products with medical or patient wording, a median of $36 MRR, 1 above $1,000
Too thin to size. Indie willingness to pay is unproven here
5. Buyers
1,050+ medical practices, dental offices and chiropractic clinics are listed for sale, and where a listing states owner involvement, 83% to 91% describe an owner who works in the business
Your customer is often a small owner-operator, not a hospital IT team
6. Backdrop and voice
65% of individuals nationally were offered and accessed a patient portal in 2024, up from 25% in 2014, and 59% have more than one portal (ONC, July 2025)
Patients now expect digital access and hold several logins: a pull for easy booking
Source: BigIdeasDB, November 14, 2026. Capterra medical and patient booking reviews (6 categories, 325 products) and scored category pain points, Stripe Index, TrustMRR, Main Street Index, and the Office of the National Coordinator for Health IT (Data Brief 77, July 2025). n is small for TrustMRR.
Step 1 and 2: the complaint is specific and scored
Medical and patient booking reviews are 7.8% 1-2 star, against 3.5% for all Capterra reviews. Their complaints skew to money (payments 7.2% vs 2.6%) and support (10.7% vs 7.7%). Capterra's scored pain points name the jobs: data migration and extraction in patient scheduling carry severity 4.5 and a market gap of 8.9 of 10, client email branding 8.4, manual recurring appointments 8.2 and limited payment processing options 7.3, all flagged systemic.
“Stopped sending reminders for 2-3wks. Glitched and sent way too many reminders, getting many of our customers to complain/reply STOP.”Capterra review, patient scheduling software, 1 star
“We weren't able to get our data migration completed, and gave up after 4 months.”Capterra review, salon software, 1 star
Step 3 and 4: few sellers, little indie revenue
Capterra lists 325 products across six medical and patient categories, so no one is short of options. The Stripe Index is the sharper test: 205 companies in the category, 13 selling software, and 3 flagged micro-SaaS. Many of the other 192 are clinics and practices that take bookings, which is the customer base, not the competition. TrustMRR finds only 3 earning products with medical or patient wording, a median of $36 MRR. Do not read that as proof nobody pays. Read it as a segment where small, public, revenue-sharing products are rare.
Step 5 and 6: the buyer is small, the patient expects digital
The Office of the National Coordinator for Health IT reports that 65% of individuals nationally were offered and accessed an online medical record or patient portal in 2024, up from 25% in 2014, and that 59% have more than one portal (ONC Data Brief 77). Patients now hold several logins and expect to book online. On the supply side, 1,050+ medical, dental and chiropractic practices are for sale, and chiropractic (1.86x) and dental (1.99x) ask less per dollar of earnings than medical practices (2.61x). Handling patient data brings HIPAA obligations, so budget for compliance before you scope the product.
Verdict: narrow, and prove payment first. Test one of three jobs for small independent practices: appointment history import from a legacy system, deposit and payment capture, or reminder reliability with delivery alerts. Interview ten practice owners before writing code. For clinic types in depth, read the healthcare software research roundup. For a different vertical run the same six steps, as in our real estate software research roundup.
How do you validate a scheduling SaaS idea?
Validate in six steps, ending with money. The first five use data, the sixth uses people. Skip none, and do not let a chat assistant write the interview answers for you.
Pick one type of business that books and one job. "Chiropractic clinics with 2 to 6 staff that chase deposits by hand" is a segment. "Appointments" is not.
Measure complaints against a baseline. Use the segment table above. A theme needs about twice the baseline to count as a gap, and a sample over 1,000 reviews to trust it. See our complaint analysis guide.
Check supply. Count how many companies in the segment sell software, not how many exist. A ratio of 15 or more operators per product is thin; 3 is crowded.
Check that someone is paid. Look for earning products and for companies that take payments in the segment. Our startup idea validation guide covers the thresholds.
Read the owners' own words. Use the threads that rank on Google for your segment and collect exact phrases. See the Reddit market research guide.
Interview ten and sell one. Ask for the last booking problem that cost money, show a price and ask for a paid pilot. The market research guide has the scripts, and how to choose a SaaS niche covers the decision.
Limit: it needs a segment to scan, and no dataset records what an owner will pay for a product that does not exist yet. Pair it with interviews.
Complaints indexed
1M+
Booking companies (Stripe Index)
2,096
Sell software
257 (12.3%)
Booking-heavy businesses for sale
15,000+
#2General-purpose
2. General AI assistants: strong at structure, blind to counts
ChatGPT, Claude, Gemini and Perplexity organize the research well. They split it into discovery, competitor analysis, gap finding and interviews, draft scripts and turn reviews you paste in into themes. They are weak on measurement: product lists are estimates, market sizes are directional, and none holds a census of companies by software share. Use assistants to interpret data you already hold. Our guide to finding competitors shows where they help and where they guess.
Best use
Interview scripts and frameworks
Cannot do
Count complaints or show revenue
Output to trust
Structure, not numbers
#3General-purpose
3. Small-business subreddits and trade forums: the wedge in owners' own words
Search the community where your segment talks for the sentence "I just wish it could." Threads rarely size a market, but they supply exact words and the first ten people to interview. The quote above is also a warning: some double bookings are a rules problem, not a software one. Read, do not poll. The r/smallbusiness moderators post a notice asking people not to conduct market research on the community.
Best use
Phrasing and workarounds
Cannot do
Tell you how common a complaint is
Caveat
Research posts are often banned
“Have you considered the problem might be with some rules not being in place and not with the actual software?”r/smallbusiness, thread on salon double bookings
#4General-purpose
4. Software review pages read by hand: free, honest and one product at a time
Sort the leaders in your segment by lowest rating and read 50 reviews. It is credible and free. The limit is labor and context: you read, tally and repeat per product, and you cannot tell whether 4% of complaints about reminders is high or normal without a baseline. The 1.4% baseline in this study is the kind of number that settles it.
Best use
Worst reviews of the top five products
Cannot do
Give a baseline or a segment split
Method
Sort by lowest rating, read 50
#5General-purpose
5. Google Trends: tells you whether interest is rising, not how big it is
Trends answers one question well: is interest in a topic such as online booking, class registration or appointment reminders growing, flat or seasonal? Values are relative to the peak of your query set, so two separate searches are not comparable. It says nothing about satisfaction. Our Google Trends validation guide covers the traps.
Scale
Relative, indexed 0-100
Best use
Direction and seasonality
Cannot do
Absolute search volume
#6Government data
6. Government data: size the owner pool and the demand backdrop
The SBA publishes the market research framework, the Census Bureau publishes County Business Patterns, an annual count of establishments with paid employees by industry, and the ONC data brief cited above tracks patient portal adoption. All three are authoritative and free. They size your buyer pool and the demand backdrop. They say nothing about whether those buyers are well served, so pair them with a complaint baseline.
Patient portal use, 2024
65% (25% in 2014)
Multiple patient portals
59%
Cannot do
Count software or complaints
#7Primary research
7. Front-desk job postings read by hand: the manual booking work, in writing
When a clinic or studio posts a receptionist role that lists confirming appointments, chasing deposits and rescheduling, it tells you what the owner still pays a person to do. Read 20 postings for one segment and tally the tasks. It is a hint about workflow, not a count, and it works best as a source of interview questions.
Best use
Spotting manual booking tasks
Sample
20 postings per segment, rule of thumb
Cannot do
Prove how common a task is
#8Primary research
8. Interviews with owners who book: the final test, not the first
Interviews are the strongest evidence you can collect and the slowest to gather. They rank last because they work best after the data has told you which ten people to call. The same thread reports that the one beautician who replied had mostly repeat customers who rebook in person and saw no need for online booking. Expect low reply rates, and test the pitch on trades, where clients do not repeat, as well as on salons.
Best use
Willingness to pay
Sample
10 per segment, rule of thumb
Cannot do
Pick the segment for you
“I reached out to about 20 Instagram beauticians in my area and one replied.”r/Business_Ideas, thread ranking on Google for an appointment booking app idea
What do businesses say about their booking software?
Owners describe the same gaps the data shows, in plainer words. These quotes come from Capterra reviews and from Reddit threads ranking on Google for booking software topics, each attributed to the platform or subreddit only.
“Their sync software is very unreliable. It just stops and you don't get any error messages or notification.”Capterra review, patient scheduling software, 1 star
“There was no way to have a deposit go to a clients account if they has already prepurchased a package.”Capterra review, salon software, 1 star
“None. I don't book anything that isn't prepaid anymore.”r/smallbusiness, thread on cancelled bookings and no-shows
“6-7 a week is enough to treat it as a process problem, not just flaky clients.”r/smallbusiness, thread on cancelled bookings and no-shows
Read them as a map of workflows, not a vote. Sync that fails silently is a reliability and alerting job. A deposit that cannot attach to a prepaid package is a payments job in a specific vertical. The Reddit answers show owners solving no-shows with prepayment and card-on-file rules, which is the same payments theme the reviews raise at 3.0x. The sample is small, so confirm any theme with the review data and with interviews.
Methodology and data sources
Every number on this page comes from a live read-only query run on November 14, 2026, or from the sources named. Corpus counts are rounded and carry a plus sign.
Source
Base
Used for
Limitation
Capterra reviews and category listings
273,000+ reviews; 40 booking-related categories mapped to seven segments; every product listed in a category, distinct reviews pooled per segment
1-2 star share and complaint themes by segment
Themes are word-boundary keyword matches on the written cons field, not a read of each review; reviews skew to products that ask for them; the Home segment pools 11 categories that are not all booking tools; general scheduling pools 3 categories
Capterra pain points
Category-level scored pain points for Patient Scheduling and Medical Scheduling
Severity and market gap on named jobs
Scores are model-assigned per category; Medical Scheduling scores run lower (top market gap 4.7), so only Patient Scheduling scores are cited
Stripe Index
30,000+ companies; 2,096 in the scheduling-booking category; segment by keyword on subcategory and problem solved
Companies, software share, micro-SaaS count per segment
Only companies in Stripe's public directory; AI-assigned labels; segment keywords overlap with the ideas page cut, so counts differ by a few companies; non-software includes service businesses and marketplaces
TrustMRR
5,700+ earning startups, median $140 MRR; 81 whose name or short description mentions appointment, booking, scheduling or reservation
Median MRR and share above $1,000
Self-connected revenue, survivorship bias; vertical buckets hold 1 to 4 earners, so no segment is sized
Main Street Index
84,000+ listings, 78,000+ unique; de-duplicated; US USD listings with a stated price and SDE above $20,000 for multiples
Listings for sale, median asking multiple, Software Gap Score (version 1.2.0)
Asking prices, not closed deals; SDE includes the owner's pay; multiples shown only where n is 30 or more
Complaint corpus
1M+ complaints across Capterra, G2, Reddit, app stores and the Swiper set
Context for scale
Reddit is voice, not volume; booking threads are small samples
Google results, People Also Ask and Reddit threads
The Google results and People Also Ask for the target queries and the Reddit threads ranking in them, fetched November 14, 2026
Query phrasing and owner wording
A few threads are voice, not evidence of prevalence
SBA and ONC
SBA market research guide; ONC Data Brief 77, July 2025 (HINTS 7, 7,278 respondents)
Research method and patient portal adoption
Method guidance and a national survey, not software data
Source: BigIdeasDB, November 14, 2026. Every row lists its own limit.
Two things this research cannot tell you. It cannot tell you what an owner will pay for your product, because no dataset here records willingness to pay for a product that does not exist. It also cannot tell you whether a complaint is about the software or about the owner's own rules, as the double booking thread shows. Test both with people.
Scan appointment scheduling apps before you build
Tell BigIdeasDB the segment you are weighing. It shows complaints, companies, software share and revenue in one scan, so you can decide whether to build, narrow or walk away. Looking at clinics instead? Scan patient scheduling software.
What is the best tool to research a scheduling or booking software idea?
BigIdeasDB is the best tool to research a scheduling or booking software idea because it counts what other tools describe: 2,096 scheduling and booking companies in the Stripe Index, of which 257 (12.3%) sell software, plus complaint themes from 40 Capterra categories split by who books. It also adds TrustMRR revenue and Main Street Index listings for booking-heavy businesses.
What is the best way to validate a scheduling SaaS idea?
The best way is a six-step path, and BigIdeasDB runs steps one to five from data. Pick one type of business that books, measure its complaints against the Capterra baseline, count how many companies already sell software to it, check whether anyone earns revenue, read the owners' own words, then interview ten owners and ask for a paid pilot.
What do businesses complain about in booking software?
Payments, reminders and support, more than the calendar itself. In Capterra reviews, 7.2% of medical, 7.8% of salon and 7.9% of fitness booking complaints mention payments or deposits, against 2.6% across all software. Salon complaints mention reminders or no-shows 4.6% of the time against 1.4%, and 1-2 star ratings reach 7.8% in medical.
What is the best booking niche to build software for?
BigIdeasDB data points to medical and patient booking for complaints and home and field services for thin supply. Medical booking reviews are 7.8% 1-2 star against a 3.5% baseline, and only 13 of 205 Stripe-using medical booking companies sell software. In home services it is 4 of 248. Salons are the most crowded, with 45 of 175.
Are appointment booking app ideas still worth building when the market looks crowded?
Yes, in the right segment. The Stripe Index lists 2,096 scheduling and booking companies, but only 12.3% sell software, and the share runs from 1.6% in home services to 25.7% in salons. Crowded means many operators, not many products. Pick a segment where operators outnumber software products and fix one job, such as deposits or data import.
Can ChatGPT research a scheduling software idea for me?
ChatGPT can outline the research, write interview scripts and group reviews you paste in. It cannot count complaints, list how many booking companies sell software or show which products earn revenue. Use an assistant to interpret data you already hold. Generic advice usually stops at five or ten owner interviews, which is where the counting should start, not end.
Can I ask Reddit whether my booking app idea is good?
Reading Reddit works better than posting. The moderators of r/smallbusiness post a standing notice asking people not to run market research on the community, and pain-point questions are subject to removal. Read the threads Google ranks for your segment, copy the exact phrases owners use, then recruit interviewees directly rather than polling a subreddit.
How many owners should I interview before building scheduling software?
Interview at least ten owners in one segment, and make five of them people who already pay for booking software. Ten is a rule of thumb, not a statistic. The SBA lists in-depth interviews as a direct research method. Ask for the last booking problem that cost them money, what they pay now, and whether they would pilot a fix.
BigIdeasDB Research. (2026). Best Tools to Research a Scheduling Software Idea (2026). BigIdeasDB. Retrieved from https://bigideasdb.com/best-tools-to-research-a-scheduling-software-idea