Edge Arena Runs — July 2026

A 35-year-old teacher opens her auto insurance renewal and sees a 20% price jump with no clear explanation of what's included. She calls her agent, who struggles to explain the new coverage tiers and add-ons. Her insurance app offers no simple way to compare plans or get a better rate, so she just pays the bill and feels trapped.

A landlord with three single-family rentals spends two evenings a month reconciling bank feeds across multiple spreadsheets, manually matching rent payments and repair costs to each property. The spreadsheets misclassify recurring expenses like HOA fees, and when tax season arrives, the totals don't line up with bank records. The landlord has to redo the work from scratch.

An energy infrastructure director at a municipal utility reviews a software demo with enthusiasm but hesitates when asked to schedule a follow-up. Their procurement team has not been engaged, and the vendor has not provided the compliance documentation required for internal review. Weeks later, the deal is marked as lost due to inactivity, despite initial interest and a strong product fit.

A customer service manager at a mid-sized German e-commerce company spends hours each week routing complaints to the right team, only to see response times balloon during peak hours. Their current chatbot can't handle nuanced queries, and hiring more staff isn't feasible with seasonal demand swings. The existing tools either lack personality or require extensive training to function properly.

A SaaS founder in Munich spends three hours a week coordinating live demos for inbound leads, but most demos don't convert. Their team can't scale or afford round-the-clock sales support. Existing chatbots lack the nuance to handle product demos, and hiring live agents is too costly and slow.

A legal tech founder with a two-person team spends hours each week onboarding and supporting 15 small law firms, each with a $200 annual contract. The tools they use for customer management aren't built for high-touch, fragmented SMBs. The team struggles to scale while keeping product development aligned with enterprise clients that pay $1,000+ per year.

An SMB owner opens her third spreadsheet to track vendor payments and revenue, trying to spot where money is slipping through the cracks. She knows the tool could help, but the pricing page feels abstract-she can't see how it would apply to her business. Her team's cash flow is tight, and she needs a reason to act now, not just later.

A commercial insurance broker in Texas tries to finalize a batch of policies using the underwriting tool but gets a system timeout. The tool logs show a validation error, but the user sees no clear explanation. Brokers in the same region and line of business are repeatedly hitting the same issue, increasing their reliance on support staff to manually resolve each case.

A new customer who bought a skincare set opens the box but never uses the products, then forgets about the brand. The company's only follow-up is a thank-you email that doesn't address how to use the product or reinforce its value. The customer's confusion and lack of guidance lead them to abandon the product within seven days, and the company loses a chance to build long-term loyalty.

A billing manager at a primary-care clinic opens the third insurance claim denial notice in a week, realizing the clinic's automated billing system only flags errors - it doesn't fix them. The system's lack of actionable guidance means staff must manually resubmit claims, wasting hours each week. Within a month, the clinic's cash flow drops by 15%, and the billing team starts logging in less frequently.

A parent logged into the childcare platform multiple times a week to schedule pickups and track their child's meals sees another upsell prompt for a premium feature. They quickly dismiss it without reading it-again. The prompt appears during a booking flow, interrupting their task. The platform's tools for upselling are either poorly timed or irrelevant, missing a chance to convert engaged users.

A compliance officer at a mid-sized healthcare firm spends four hours each morning manually generating and cross-checking patient consent forms for regulatory audits. Her team uses a mix of spreadsheets and email chains to track updates, which leads to missed deadlines and inconsistent documentation. The tools they currently use don't support drag-and-drop automation, so they're stuck in a cycle of repetitive, error-prone work.

A new online seller using a basic site builder sees a 70% drop in completed purchases after customers reach a clunky, multi-step checkout. The tools they've tried either take too long to load or require complex setup steps they don't have time for. Their site's cart doesn't support Stripe or PayPal out of the box, so they're stuck with unreliable third-party integrations.

A video creator posts a new TikTok every other week but struggles to maintain a consistent schedule after signing up for the tool. They use the app once or twice a week, then let it sit until they run into a formatting issue or scheduling hiccup. Their workflow doesn't integrate the tool deeply enough to form a habit, and without a community to push them, they drift away.

A Discord moderator for a 300-member indie game dev group spends two hours every week manually counting new members and active channels. The analytics tools they use only show basic stats like total members, not why people join or drop off. They want to know what content drives engagement but can't afford enterprise tools.

A freelance digital marketer wraps up a six-week SEO campaign for a local bakery and sends a vague follow-up email asking for a testimonial. The client never replies. The marketer knows the testimonial would help attract new clients but lacks a system to make it easy for the bakery to respond. Existing tools are too clunky for quick use, and the process feels like a hassle they don't want to manage.

A product marketer at a 12-person SaaS startup spends hours tweaking a feature announcement page, only to see it gather zero traction after posting it to LinkedIn and a few Slack channels. Their team lacks a built-in way to track or incentivize sharing, so even when the page is seen, it doesn't convert into new users. The tool they use doesn't support referral loops, so each new visitor has to be acquired manually.

A DTC brand operator with 155 active users opens their morning dashboard to find 30 orders still unprocessed. Their team uses a shared Google Sheet to manually pull orders, print shipping labels, and update tracking info, but the process slows to a crawl as more orders come in. The sheet becomes a bottleneck, and customer support tickets about missing shipments start piling up.

A freelance project manager with a small agency spends hours each week responding to direct messages from clients asking for tool recommendations. She knows her peers use automation but has no way to share or track what works. The tools she already uses don't include referral systems, so she can't easily point people to her favorite app without losing track of who signed up.

A startup sales director reviews this week's CRM report and sees a 40% drop in lead conversion. The data shows 60% of new leads are freelance data engineers, a role that rarely converts to enterprise contracts. The ad platform's algorithm has started routing more traffic to this segment, but the team's lead scoring model still treats them as high-intent prospects.

A senior data engineer at a healthcare company reviews a failed production pipeline, tracing the error to a missing schema check in a recent commit. Their team uses multiple tools for data validation, but none are wired into the CI/CD process, so schema violations slip through. The current validation scripts are inconsistently applied across teams, leading to repeated production issues.

A billing manager at a three-provider family clinic in Phoenix spends three hours each week resubmitting denied claims, many due to minor data entry errors. Their current billing software lacks real-time validation, forcing them to catch mistakes after the fact. They've tried using spreadsheets to track corrections, but errors still slip through and delay payments.

A freelance web developer with five active clients opens her calendar to schedule a call with a client who hasn't paid in two weeks. She spends 30 minutes drafting a polite but firm reminder email, only to see it go unanswered for another week. Her invoicing tool sends generic reminders, but they get ignored - she's chasing money while her next project waits.

An instructional designer runs a 30-minute Zoom session for a client's onboarding team, then spends the next two hours manually updating a Google Sheet to track who completed what. They send feedback via email, but it's inconsistent and delayed. The client expects a certificate at the end, so the designer has to create one in Canva after the session.

A small business owner with 10 employees opens their accounting software to manually project cashflow for the next quarter, guessing at worst-case scenarios. They've tried one-off financial tools, but nothing sticks or scales. Their accountant recommends a retainer, but the cost and commitment feel too high for their current volume.

A senior SEO specialist at a mid-sized agency opens a new client's website in Screaming Frog, preparing for a 12-hour audit. They manually compile crawl errors, broken links, and keyword gaps into a report, repeating the same steps for each of their 5 clients. The process is slow, and the client expects a polished deliverable in 48 hours, leaving little time for strategy.

An independent real estate investor with five rental units logs into their property management dashboard and sees a $1,200 monthly charge for a service they don't remember signing up for. They hesitate to call support, fearing it could delay rent collection or trigger account changes. The software's billing is unclear, and switching feels too risky.

A DTC founder with a $150K annual revenue brand spends 12 hours a week bouncing between Shopify, Stripe, and Slack to track sales, customer feedback, and team updates. Their technical co-founder builds custom scripts to pull data into spreadsheets, but the process is slow and error-prone. Existing tools don't integrate the core functions they need, forcing them to manually stitch together insights.

An accountant at a small firm opens 12 Excel files from clients to reconcile balances, spending 3 hours just to spot inconsistencies. Their current tools don't flag duplicates or missing data, so errors only show up when clients question the final reports. The firm has no system to automate this step, and manual checks eat into billable hours.

A YouTuber with 15k followers announces a fan giveaway in a Discord channel and wants to sell 50 custom stickers in 48 hours. Their go-to print-on-demand service requires a minimum of 100 units and takes 7 days to ship. They end up over-ordering, storing unused stickers, and missing the momentum of the campaign.

A digital marketer at a mid-sized fashion brand in Berlin spends hours each week updating consent logs manually after website changes, only to discover a legal audit flagged missing preferences for behavioral ads. The cookie banner they use only captures basic acceptance, not the nuanced opt-ins required for email personalization or ad targeting. Their marketing automation system has no way to sync with these preferences, leading to invalid campaigns and wasted ad spend.

A marketing manager at a 50-employee B2B SaaS company opens LinkedIn for the third time that day to manually copy-paste a message to a prospect from Salesforce. Their team spends more than 5 hours each week on this repetitive task, and the lack of personalization leads to low response rates. The CRM they use can't natively sync with LinkedIn, so they rely on a hodgepodge of spreadsheets and shared notes to track outreach.

A clinic owner in a mid-sized city checks their appointment calendar after two weeks and sees only 25 new clients. Their online ads and social posts are getting clicks, but not enough to fill the 100 slots needed by month's end. Their existing tools track appointments but don't incentivize or track word-of-mouth sharing from satisfied pet parents.

A real estate ops manager finalizes a pricing model for a SaaS platform, realizing that buyers expect precise, usage-based pricing that adapts to market shifts. Existing tools force rigid pricing structures, and partnering with a third-party provider would lock them into fixed logic that can't evolve with buyer behavior. Their small team can manage the workload alongside platform development if the scope is tightly controlled.

An engineering manager at a mid-sized manufacturing plant opens a new spreadsheet to compile safety data for an OSHA compliance report, realizing they'll need to manually input data from six different systems. The deadline is in three days, and a single error could trigger a $10,000 fine. Their team has no tool to automate the process, and the software they've tried either doesn't support OSHA's 2024 rules or requires coding to integrate.

A solo lawn care provider in suburban Phoenix spends 45 minutes filling out a new account form on Thumbtack, only to wait three days before getting a first job. The generic platform asks for irrelevant details like catering licenses and event insurance, wasting time that could be spent mowing. Other providers in Facebook groups complain about the same onboarding pain, but no alternative exists that fits their needs.

A lead developer at a startup building an event booking platform spends three days integrating with a new venue management system's API. The team already has a working prototype, but each venue requires custom parsing of availability and booking rules. Their current tools handle ticketing but offer no normalization layer, forcing them to rebuild the same logic for every new venue they add.

A clinic manager at a 150-staff outpatient clinic spends three hours every Friday reconciling overlapping appointments and inventory logs in shared spreadsheets. The same spreadsheets are used across departments, leading to double bookings and expired medication stock. Clinic staff waste 10% of their weekly hours managing these fragmented systems.

A small restaurant owner checks her phone after a last-minute call from a cook who can't make it in. She scrambles to find a replacement, losing $200 in lost productivity and a dissatisfied customer. Her team uses a mix of texts, Google Calendar, and word-of-mouth to manage shifts, but changes often go unconfirmed and open slots go unfilled. Existing tools either cost too much or require employees to download an app, which most ignore.

A full-stack developer working on a serverless app updates a database schema but forgets to propagate the change to the frontend TypeScript types. The backend and frontend go out of sync, causing runtime errors in production. Their team uses a mix of manual scripts and ad-hoc diffs to track changes, but the process is slow and inconsistent.

A solo HVAC contractor spends 4 hours a week manually scheduling jobs, responding to customer calls, and tracking parts orders. Their phone app only handles basic calendar functions and doesn't integrate with suppliers or auto-respond to customer messages. They're missing appointments and losing revenue from delayed communication.

A machinist at a 20-person job shop spends 30 minutes each morning transcribing machine run times from paper logs into the ERP system. The data is often outdated by the time it's entered, and errors go unnoticed until a production report is finalized. The shop's ERP can't connect directly to their older CNC machines, so the team relies on handwritten notes and spreadsheets to track usage and scrap.

An insurance agent opens a client's policy renewal and sees it's past due. She spends 20 minutes manually drafting an email to remind the client, but the client never replies. Her inbox is full of similar cases where upgrades stall due to missed follow-ups. Her current tools don't automate these reminders, and she's too busy to track each one.

A regional laundry equipment dealer in Dallas opens a spreadsheet to schedule service calls for the week, only to realize three technicians are double-booked while two clients have no confirmed times. The dealer portal their OEM provided doesn't support scheduling, so they rely on phone tags and email confirmations. By midweek, two appointments are missed, and the dealer loses a client to a competitor who offered same-day service.

A property manager overseeing 20+ units logs into the platform to update tenant data but has to manually transfer information from their accounting software and listing service. The platform lacks native integrations with these tools, forcing her to duplicate data across systems. Her team avoids upgrading to premium plans because the platform can't streamline workflows, despite handling more units.

A prospective user opens the app on their new iPhone, reaches step 3 of onboarding, and sees a prompt asking to allow tracking. They tap 'Don't Allow' and are met with an error. The app doesn't explain the issue or offer an alternative path, so they close the app and don't return.

A dental office manager at a practice with six providers spends two afternoons each week manually updating treatment plans for patients who change insurance or add new procedures. The existing practice management software doesn't support dynamic plan updates, so she has to adjust notes, costs, and insurance coverage line by line across multiple patient records. This manual process causes delays in scheduling and billing, and errors often go unnoticed until insurance rejections come in.

A clinic administrator at a 15-staff outpatient facility spends two hours each week manually checking expiration dates on staff licenses and certifications. Their current system is a shared Google Sheet that gets out of sync between departments. When a nurse's license lapses unnoticed, the clinic faces a $2,000 fine and must delay patient appointments.

A project manager at a small agency opens the app for the first time, expecting to save time on task tracking, but instead spends 10 minutes navigating a feature-heavy tour. The setup feels like a barrier, not a shortcut. Their team's trial ends without a paid plan, because the onboarding didn't show immediate value.

A DTC founder with $2M in annual revenue sits in a Zoom call with three consultants-her ad manager, her fulfillment coordinator, and her email marketing specialist-all giving conflicting advice on launch timing. Her Shopify store is stocked, but the ads aren't syncing with inventory levels, causing oversells. Each consultant charges $3,000/month, and the founder can't track who's responsible for what.

A production manager at a 50-employee machine shop spends every Friday afternoon manually entering workflow logs and compliance reports into a shared drive. The shop's CAD software tracks output, but no system auto-generates documentation from that data. By the time reports are ready, production delays have already cost hours of output.

A compliance officer at a health diagnostics AI startup opens a new regulatory notice requiring detailed agent compliance reports within 90 days. They don't have a system to track model logs or risk assessments, so they manually compile data from scattered spreadsheets and internal audits. The deadline is fast approaching, and the lack of a tool or expert guidance means the report is likely to be delayed or rejected.

A mid-size performance marketing agency with 50 employees spends $4,000/month on Adobe Campaign licenses for reporting. When they try to switch to a cheaper tool, they lose three days of work rebuilding dashboards and syncing data. Their team can't justify the time or risk, so they stay locked in to the expensive platform.

A patient with two dental offers in hand sits at home, staring at the contracts, unable to tell which one is cheaper for a root canal. Both providers use different pricing structures and hidden fees, and she doesn't know where to start comparing. She posts in a Reddit thread asking for help, but the advice is scattered and unverified.

A legal ops manager at a mid-sized insurance firm spends hours manually updating contract templates, only to see few leads convert into annual subscriptions. The tools they use offer generic automation, but buyers want to see how it works with their specific compliance documents. Their current inbound efforts fail to speak to the document-specific pain points that drive real decisions.

A co-founder at a two-person startup struggles to close a mid-sized remote team on a custom internal tool. The sales cycle stretches to three months, but the team lacks bandwidth to manage multiple deals at once. Their no-code platform is already built for workflows like task tracking and project handoffs, but they can't scale without overextending.

A senior data engineer at a mid-sized SaaS company opens a six-year-old Perl script to debug a pipeline that failed overnight. The team has spent the last three months manually rewriting these scripts, only to discover new errors in production. Their current tools don't support automated testing or type safety, and every change risks breaking the next downstream process.

A plant manager at a mid-sized plastics firm in Germany reviews monthly production reports and sees 15% downtime but can't trace the cause. Their ERP system doesn't track machine status in real time, and consultants they've contacted so far demand long discovery calls and upfront fees. They want a quick, no-cost way to understand where they're losing time before committing to a platform.

A homeowner with a Nest thermostat and rooftop solar checks her bill and sees a $45 peak demand charge despite net metering. She knows she could have shifted her AC usage to off-peak hours, but manually adjusting the thermostat every day is too much of a hassle. Her solar installer never offered a tool to automate this, and she's not sure where to start.

A legal operations manager at a mid-sized firm opens a new contract and assigns three junior lawyers to extract termination and confidentiality clauses manually. The team spends 10 hours per contract, missing key terms in 15% of documents. The firm's contract management software doesn't support clause-level parsing, forcing legal staff to use spreadsheets to track findings.

A property manager at a firm with 20 rental units spends three hours each week updating a contractor coordination spreadsheet, only to discover late that a repair job was double-booked. Their current tools don't sync with contractors, so missed appointments and overlapping tasks are common. The firm has tried SaaS solutions before but lost trust after poor onboarding and unclear value.

A property manager with 12 rental units spends hours each week chasing down tenants who don't show up for viewings, while relying on word-of-mouth to fill vacancies. Their LinkedIn messages to other managers go unanswered, and their tenant screening process stretches beyond a week. The tools they use don't connect them to new leads, and no-shows eat into their time and income.

A full-stack developer working on a side project spends an hour manually setting environment variables before each test run. They hardcode API keys into their codebase for convenience, risking exposure if the repo is shared or leaked. Existing tools either overcomplicate setup or lack encryption, forcing them to choose between speed and security.

A developer at a small startup signs up for a trial of the dev tool, hoping to save time on repetitive code tasks. Two weeks in, they still can't see how the tool is cutting down their workload, and the pricing page feels like a maze. They cancel the trial without upgrading, frustrated by the lack of clarity on how the tool could actually save them time or money.

A studio member in her mid-30s signs up for a summer fitness plan but stops attending after two weeks. She checks her phone for motivation but finds no local accountability. The studio's social media posts don't connect to her daily routine or neighborhood, so she drifts back to home workouts.

An API lead at a mid-market SaaS company spends three days each week manually updating documentation and testing endpoints before a new feature can go live. Their team relies on consultants to set up and maintain tools, which adds weeks to the development cycle. The fragmented tools they use don't integrate well, forcing engineers to repeat tasks across multiple platforms.

A user on a 14-day free trial of a SaaS commerce platform opens the payment page, hesitates for over 90 seconds, then navigates back to the dashboard. They've already explored all the features, but at the moment of payment, uncertainty sets in-about security, value, and reliability. The platform lacks clear trust signals like testimonials or SSL badges, and the payment flow is cluttered with unnecessary steps, leaving the user stuck in decision paralysis.

A small business owner receives a call from a fintech rep offering cash-flow tools, but the onboarding requires scheduling a demo and filling out a form. The owner never follows through, even though they were interested in the initial message. The team's email follow-ups get ignored, and the lead is lost despite high intent. The tools they already use don't adapt to the prospect's urgency or clarify value in real time.

A production manager at a midsize automotive parts plant spends 30 minutes each morning flipping through printed setup logs and searching through old MES modules to find the latest version of a machine's configuration. The shop's engineers update notes in Google Docs, but the versions don't sync with the machines on the floor. When a new batch starts, operators guess at the correct setup parameters.

A freelance web developer spends two hours every week bouncing calendar invites and Slack messages to schedule a client interview. The process is fragmented across apps, and a last-minute time change forces a missed meeting with a potential $10k contract. Existing hiring platforms force them to pay fees or lose control over their workflow.

A solo HVAC technician in Chicago finishes a job and texts the client a thank-you message, but the customer never leaves a review. A week later, the client cancels a scheduled service because the technician forgot to send a reminder. The technician has no system to automate follow-ups or reminders, and manually managing them eats into time that could be spent on jobs.

A billing coordinator at a 20-provider orthopedic clinic spends three hours each Monday calling insurance companies to check on pending claims. The clinic uses a generic billing system that doesn't integrate with payer portals, so staff must manually log into each insurer's site or pick up the phone. This process is error-prone and reactive, with no alerts for denied claims until a patient calls to complain.

A project manager at a 10-person digital agency spends three mornings a month compiling retainer invoices from Asana, then chasing late payments via email. The accounting software they use doesn't sync with their project tools, forcing them to manually input hours and client names. Missed updates lead to incorrect invoices, which trigger client disputes and double the reconciliation work.

A dental tech SaaS founder notices trial-to-paid conversion costs have doubled overnight. Ad channels and messaging remain unchanged, but only 30% of trial users reach final onboarding steps. Their analytics show no drop in trial signups, but a sharp decline in completed onboarding actions, suggesting a breakdown in the funnel.

A two-person founding team in construction tech hits a wall trying to build a key product component from scratch. They lack the engineering bandwidth to ship quickly and are stuck between the risk of overbuilding and the pressure to launch. Their seed funding won't stretch to cover a long development cycle or a failed experiment.

A compliance officer at a mid-sized defense contractor spends 40 hours a week manually sorting and tagging classified and unclassified documents, risking costly misclassifications. Their agency's current tools are either too broad for nuanced compliance standards or require expensive third-party consultants. The team has already flagged two misclassified files in the last month, each carrying a potential fine of over $50,000.

A roofer in Phoenix, Arizona, opens HomeAdvisor to send a quote but sees the 20% commission fee and hesitates. He knows the client will balk at the final price, but closing the job directly is too slow without a quoting system. He leaves the app, unsure how to capture the lead without the marketplace.

A new user from a referral partner logs in for the first time and immediately struggles to find where to upload their first document. They reach out to support, only to discover the feature is buried three menus deep. The support team sees a surge in similar questions, all from users who came through the new referral channel and have no prior familiarity with the platform's layout.

A compliance officer at a financial services firm signs up for the platform but abandons it after three days, overwhelmed by dense policy documents and unclear use cases. The platform's generic onboarding doesn't reflect the real-world decisions they face daily, so they see no value in continuing. Their peers in LinkedIn groups and industry forums talk about compliance tools, but none connect theory to practice in a way that builds trust.

An independent adjuster in Florida spends 6 hours a week manually sorting through photos and police reports for a hurricane-related claim. Existing tools don't integrate image and text analysis, so they rely on spreadsheets to flag inconsistencies. The process is slow, and errors only become clear when a claim is disputed.

A billing coordinator at a small clinic uploads a multi-page insurance form during onboarding, only to see it parsed incorrectly, missing key patient identifiers. The system fails to process the claim, and the clinic has to manually correct it, delaying care and frustrating the user. These errors repeat across onboarding, leading to a spike in support tickets and a drop in active users by day 14.

A dental office manager in Phoenix spends $2,500 a month on Google Ads and social media ads, but sees few new patients. The ads bring in leads, but they're expensive and hard to track. Marketing agencies charge even more, and most dental offices can't afford ongoing campaigns.

A junior developer at a fast-moving startup spends 45 minutes after each pull request parsing feedback from three different reviewers, each using a different tool. Their team's GitHub PRs are buried under comments from Slack, email, and in-person standups. By the time they piece together the full picture, the feedback has lost context and the learning moment is gone.

A bootstrapped SaaS founder opens their Google Sheet at 7 PM after a long day of customer calls, manually updating deal stages and syncing calendar events with CRM data. Their team's pipeline dashboard is out of date by the time they finish, and the next morning's forecast is based on stale numbers. The tools they use either don't integrate or require manual data entry, making reconciliation a weekly chore.

A brokerage owner in Toronto manages 12 agents and misses follow-up messages from recent homebuyers. The agents are overwhelmed with post-closing outreach and can't respond to review requests in time, leading to missed 5-star reviews and slow client follow-ups. Their current CRM doesn't trigger automated outreach, and manual tracking is inconsistent.

A general contractor overseeing a mid-size commercial project spends three hours each week updating a shared Google Sheet for punchlists and change orders. The sheet is out of sync with the subcontractors' versions, leading to repeated calls to clarify tasks. The GC's team has no system to track who is responsible for each item, and delays in resolving issues cause the client to push back on final approval.

A daycare director at a center with 12 kids spends 10 hours each month reconciling handwritten logs with bank deposits, chasing down parents for missing payments, and correcting time entry mistakes. The center's staff use a shared Google Sheet that's constantly out of sync, and the director has to manually calculate daily rates for part-time attendees. Existing software is either too expensive or too complex for a small team with limited tech skills.

A self-storage business owner in Phoenix spends hours each week fielding phone calls for unit availability and manually confirming bookings. Existing booking systems either lack integration with local search or require customers to sign long-term contracts before seeing the space. The owner's customers want to try before they commit, but the current setup makes short-term bookings unreliable and time-consuming.