Say hi (we actually reply)
Tell us what you're monitoring and we'll suggest a starter set of checks.
Or email us directly at hello@checkyworky.com
By the numbers
Reducing customer effort is strongly linked to loyalty; “low-effort” service experiences drive higher repurchase and lower churn compared to “high-effort” experiences.
Harvard Business Review (based on CEB research), “Stop Trying to Delight Your Customers” (2010)A large share of consumers say they’re more likely to buy again after a positive customer service experience, reinforcing that fast, helpful responses can directly impact revenue.
Zendesk Customer Experience Trends Report (2024)Many customers expect faster support than teams assume—especially for simple questions—making clear response expectations on a contact page a conversion lever, not just a support detail.
Microsoft Global State of Customer Service report (2017)Digital experience monitoring (including synthetic monitoring) is widely used to detect user-journey failures before customers report them, reducing support load and improving perceived responsiveness.
Gartner, Digital Experience Monitoring research (category overview and market guidance) (2024)Real-world examples
“Frictionless Contact” form that increased qualified inbound
Scenario: A 6-person B2B SaaS replaced a long contact form (name, phone, company size, budget, timeline) with just: email + “How can we help?” They added a short line promising a real reply and linked to docs for common setup questions.
Outcome: Higher completion rate and fewer low-context messages; support reported ~30–40% less back-and-forth because users included the right details after the team added a small “include your workspace/check name” hint under the textarea.
Routing pre-sales vs support without feeling “enterprise-y”
Scenario: A small team received mixed inquiries: billing, onboarding, and bug reports. They added a simple dropdown: “Sales / Setup help / Bug / Billing” and showed a tailored helper line per choice (e.g., bug reports: ‘include steps + screenshot’).
Outcome: Faster first response and fewer misrouted threads; average time-to-first-meaningful-reply dropped because the first message contained actionable debugging info.
Preventing alert fatigue by clarifying what “urgent” means
Scenario: Customers used the contact page to report intermittent failures without context, expecting immediate escalation. The team added guidance: what counts as urgent, what to include, and a note that intermittent issues often need 3–5 failing runs to diagnose.
Outcome: Fewer “false urgent” escalations and clearer bug reports; engineers spent less time extracting basics (timestamps, check IDs, environment).
Contact page as a conversion assist (not just support)
Scenario: A monitoring tool added two lightweight CTAs on the contact page: “Need help choosing your first 3 checks?” and “Want us to review a failing flow?” plus a promise of a human reply. They also embedded links to ‘Getting started’ and ‘Status’ to deflect repetitive questions.
Outcome: More onboarding completions from trial users who were stuck; fewer ‘is it down?’ tickets because the status link handled the common case.
Key insights
1.
A contact page is part of your conversion funnel: unclear response expectations and long forms increase drop-off, especially for small-business buyers who want quick confirmation a real person will help.
2.
Minimize fields, but maximize context: one well-placed hint (“include your workspace + check name + timestamp”) can reduce support back-and-forth more than adding more required inputs.
3.
Tone is a product feature for small teams—plain language (“we actually reply”) builds trust and reduces the perceived risk of adopting a monitoring tool.
4.
Routing matters more than volume: lightweight categorization (setup vs bug vs billing) speeds up resolution without making your process feel bureaucratic.
5.
Security guidance on the contact page prevents dangerous behavior (users pasting real credentials or customer data) and signals maturity without sounding enterprise-heavy.
6.
Deflection links (Docs, Status, Quickstart) work best when they’re contextual and optional; forcing self-serve can feel like a dead end and hurt trust.
7.
Contact pages should support modern auth reality (SSO/2FA/magic links): acknowledging these edge cases up front reassures teams that synthetic monitoring can work with their stack.
Pro tips
💡
Keep the form to 2–3 fields max (email + message + optional category). Put the “what to include” guidance directly under the message box so users send actionable details on the first try.
💡
Add two small, high-intent shortcuts above the form: “Help me set up my first check” and “A check is failing—help me debug it.” Each link can prefill the message template with the exact info you need (check name, URL, timestamp).
💡
Set expectations in one sentence: response window + where to look for immediate answers (Docs/Status). Example: “We reply within X hours on business days. If you’re seeing an outage, check Status first.”
How CheckyWorky compares
vs Datadog Synthetics
Powerful at-scale synthetic monitoring, but many small teams find the setup and pricing complexity higher. CheckyWorky can lean into “help you pick the first 3 checks” + human support to get value quickly without needing a full observability rollout.
vs Checkly
Developer-centric and great for code-defined checks. CheckyWorky can differentiate on “pretend customer” onboarding help via the contact page—especially for teams that want guided setup and practical advice on flaky flows (SSO, feature flags, email verification).
vs UptimeRobot
Excellent for simple uptime/ping checks, but limited for multi-step user journeys. CheckyWorky’s contact page can emphasize help modeling real customer flows (login → dashboard → billing) and troubleshooting why a browser check fails, not just whether a URL responds.