The same bug filed three times
Each reporter got a new issue.
BoldBellowsHelp Scout to GitHub for support teams who are tired of pasting bug reports into issues
Help Scout to GitHub automation that opens one issue per bug, links every customer who reported it and tells support when it closes
A Help Scout conversation is a customer's own words, and a GitHub issue is an engineer's task, so only a note should ever cross from one to the other. BoldBellows notes the conversation ID and the tag that started the handoff, along with the mailbox it came from, reads the conversation again to confirm the report is still open and still tagged, then builds the help scout to github integration around the bug tag you already use: the conversation becomes one issue with a short summary, the labels you choose and a link back to the conversation, the issue number is stored on the conversation as a note, and a second customer reporting the same bug is added to the existing issue instead of a duplicate. When engineers close the issue, support is told on the conversation, and no reply is sent to anybody.
View Pricing
One-off setup from $855
No monthly subscription
- Help Scout to GitHub for bug reports
- One issue per bug, many reporters
- Support told when the issue closes
- One issue per bug later reports join it instead of repeating it
- Both sides linked the issue names the conversation, the conversation names the issue
- Short summary, not the thread private details stay in Help Scout
- Closed issues reported support is told, with no customer email sent
- Honest reporting Failed runs are reported with their cause, not hidden
- Clear from the start packages open at $855, and the delivery range appears next to it
Chapter 01 the pasted-bug-report problem
A bug report pasted into an issue forgets who reported it
When a customer reports a bug, somebody on support copies the message into a GitHub issue, maybe attaches a screenshot, and the thread moves on. Three weeks later a fourth customer reports the same thing, a new issue is opened, and nobody can say who was waiting for the fix. When the fix ships, the customers who wrote in hear nothing, because the issue never knew they existed.
When the same bug came in a fourth time, the issue already knew, and we closed all four conversations from one fix.
An issue with no customer behind it
The link back to the conversation was missing.
A customer's email in a public repo
The whole thread was pasted.
Before
After
Before
- Each notice is trusted as it stands
- Bug reports are copied by hand into issues
- Support cannot tell which customers wait for a fix
After
- Matching uses a hidden marker holding the conversation ID in the issue, with the issue number kept on the conversation; titles and labels are ignored
- A tagged conversation opens one issue and keeps the link
- Every reporter is counted, and support hears when it closes
Chapter 02 How it works
How a tagged conversation becomes an issue with its customers attached
The sequence is fixed so that a replay reaches the same answer every time.
Filter at the door
The Help Scout event is authenticated and recorded first; only a conversation change that matches the rule continues.
Verify, match, summarize
The tag event is verified, the conversation is checked for an existing issue, and a short summary is written that leaves out private details.
Open, link, report back
The issue is opened with its labels, the number is stored on the conversation, and a closed issue adds a note for support.
How Help Scout and GitHub actually behave
- Deliveries are signed: Each Help Scout webhook carries an X-HelpScout-Signature header, an HMAC made with the secret you chose, so the route checks it against the raw request body before it trusts the content.
- Issue numbers belong to a repository: A GitHub issue number is unique only inside its repository, so the route stores the repository with the number and builds every link from both.
- Reconciliation step: An unsure result is reconciled by matching a hidden marker holding the conversation ID in the issue, with the issue number kept on the conversation in GitHub and recording the verdict.
Chapter 03 What ships in the build
What the handoff is made of: matching, opening and reporting back
Each layer adds one job: Kickoff decides, Build-out delivers, Review verifies.
Qualification check
Applies the written qualification rule to each event and keeps the result beside it.
Stable identity ledger
Stores the identity of every Help Scout record alongside what GitHub returned for it.
Mapping documentation
Produces the field map as plain documentation your team can read and keep.
Issue builder
Writes the title, summary, labels and a link to the conversation, leaving out the customer's address and the full thread.
Known-bug matcher
Checks a hidden marker holding the conversation ID in the issue, with the issue number kept on the conversation in GitHub before any write, which is what makes replays harmless.
Repository routing matrix
Sends each product area, severity and mailbox to the right repository and label set.
Link register
Flags any issue whose content no longer mirrors Help Scout, and says since when.
Label drift monitor
Catches a deleted label or an archived repository before the next issue fails.
Exception alerts
Notifies the right person when an exception appears, not the whole team.
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Chapter 04 Who this fits
Fits engineering managers who triage what support finds and whoever must hand bug reports from customers to engineers without copying and pasting, and tell support when the fix has shipped
Support hears the bug first; engineers should get it once, with the evidence and the people who are waiting.
Support agent
"Hand the bug over in one tag."
Adding the tag opens the issue, and I do not paste anything.
Engineering manager
"Stop duplicate issues."
A repeat report joins the issue that exists.
Product owner
"Count who is affected."
Each issue lists how many conversations point to it.
Customer success manager
"Tell customers when it is fixed."
Closing the issue puts a note on every linked conversation.
Open-source maintainer
"Keep user details out of the repo."
The issue holds a summary and a link, not the thread.
Founder
"One place to see the bugs."
Bug conversations and issues stay linked both ways.
Chapter 05 The options
Side by side: a forwarded email with a screenshot attached, a zap and a conversation-to-issue handoff
Each can open an issue. Only one avoids duplicates, keeps the link both ways and tells support when it is fixed.
| Question | A forward with a screenshot | A basic issue connector | Our conversation-to-issue handoff |
|---|---|---|---|
| What starts the work | An owner checking daily | Any update at all | Approved conversation changes only |
| How identity is decided | Decided case by case | The display text | A marker in the issue body, with the issue number stored back on the conversation |
| What reaches GitHub | A fraction of the record | A minimal record | One issue with a summary, labels and every linked conversation |
| After an uncertain result | Re-run and hope | Retries on a timer | Proves the outcome before repeating anything |
A delayed event meets a newer record
The stored time of the last confirmed change guards every write, so a late GitHub event cannot regress the issue.
A second customer reports a bug that already has an issue
The route finds the issue through the bug key, adds the new conversation to it as a linked reporter, and opens nothing new. Searching GitHub on a hidden marker holding the conversation ID in the issue, with the issue number kept on the conversation shows whether the issue is already there, and whether it is right. Nothing new is created unless the lookup comes back empty.
We begin by fixing a hidden marker holding the conversation ID in the issue, with the issue number kept on the conversation, and every test afterwards checks that it still holds.
Interlude What changes the price: repositories, labels and linked conversations
Price the bug handoff, repository by repository
A live calculator sits just below. It starts at $855.
View Pricing
One setup fee · Range shown first
Pricing
Build your Help Scout to GitHub price
Pick a package, answer three short questions about how Help Scout data should reach GitHub, and your price and turnaround move as you choose.
Chapter 06 The process
Six steps from pasted reports to linked issues
Six steps from kickoff to a monitored route, each with a written result.
-
About 30 minutes
Choose the bug tags
We list which Help Scout tags mean a bug, which repository each belongs to and which conversations must never leave support.
-
Access review
Approve access
A short review of Help Scout and GitHub settles what can be read, what can be written and what is off limits.
-
Most of the project
Agree labels and summaries
Labels, issue templates, the summary wording and what is kept out of the issue are written down and approved first.
-
Before you review
Acceptance runs
Normal and awkward records are pushed through a test GitHub, and you sign off the results before go-live.
-
Handover day
Launch with notes
We launch at a checkpoint, watch the first runs with you, and deliver the written handover.
-
About 30 minutes
Close the loop
A final review confirms the success measures agreed at the start and records what to watch next.
Chapter 07 Turnaround
Delivery times for each GitHub package
For Help Scout to GitHub, these ranges assume access is granted promptly.
Kickoff
4 to 7 business days
Build-out
7 to 11 business days
Review
11 to 17 business days
Chapter 08 Getting started
What you bring to the start
A Help Scout login or token that can read what the route needs
A GitHub app or token that can create issues in the chosen repositories, plus read access to the Help Scout mailbox
The Help Scout account owner's sign-off for the connection
A list of the statuses or stages that matter to you
A short description of how the team works in GitHub today
Your retention rule for anything the route logs
Chapter 09 Trust
Only listed fields move, and every permission is explained
Access is limited to the objects on your approved list, and every credential can be withdrawn at any time, on the Help Scout to GitHub route.
Outside the core
The route runs beside Help Scout and GitHub, not within them, so neither vendor's own updates collide with it.
Scoped, revocable access
The integration user or token carries only the rights the route requires.
Only approved values cross
What appears in GitHub is exactly what the field map lists, and the map is part of the handover.
Doubtful writes are verified
If a response goes missing, GitHub is searched by a hidden marker holding the conversation ID in the issue, with the issue number kept on the conversation and the outcome recorded before anything else happens.
Minimal logging
Log lines name the record and the result; they do not reproduce the record.
Full handover
You are not tied to us: the configuration sits in your accounts.
"Support and engineering rarely lack the facts; they lack a link between the person who heard the problem and the person who fixes it, so the build creates that link."
Steven GrratFounder, BoldBellows
Chapter 10 In their words
What BoldBellows clients say
Verified reviews from business owners who use BoldBellows automations every day, from marketing and data to support and operations.
AI Workflow Automation for Agencies
Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.
Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
AI CRM Automation
Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.
Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.
AI Voice Assistant
BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.
Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.
AI Automation Partner
BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.
Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.
AI Chatbot & Customer Support
BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.
What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.
AI Content & Social Media Automation
Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.
It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.
AI Lead Qualification & Sales Automation
Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.
It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.
AI Video & Voice Automation
We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.
The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.
AI Email & Smart Inbox Management
Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.
It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.
AI Booking & Scheduling Automation
Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.
No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.
AI Translation & Localisation
When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.
The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.
AI HR & Recruitment Automation
Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.
It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.
AI Accounting & Invoice Automation
BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.
Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.
AI Data Entry & Reporting Automation
We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.
The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.
AI E-commerce Listings Automation
BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.
It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.
AI Document & Contract Automation
Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.
What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.
AI Social Comment & DM Automation
We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.
Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.
Chapter 11 Questions
Support meets engineering: questions about Help Scout and GitHub
Before you commit, here is what buyers most often want confirmed.
Do you replace a Help Scout to GitHub Zapier zap or sit beside it?
An issue for every conversation that mentions a bug is easy. The hard part, which a zap skips, is to open one issue for a bug, link every customer who reported it and write back to support when it closes. That is the extra we deliver on top of the trigger.
How do I connect Help Scout to GitHub for bug reports?
Adding your bug tag starts the route, which opens an issue in the right repository and stores the issue number on the conversation.
What does the issue contain?
A short summary, the labels you chose and a link to the conversation. The customer's address and the full thread stay in Help Scout.
What if a second customer reports the same bug?
The route finds the existing issue and adds the new conversation to it, so the issue lists every reporter.
How does support learn the bug is fixed?
When the issue closes, a note is added to each linked conversation. No email is sent to the customer unless an agent decides to write.
Can this replace a Zapier connection between Help Scout and GitHub?
It can. A basic connector opens an issue every time, while this build matches known bugs, checks the repository and records both sides.
Does it work with several repositories?
Yes. A routing table sends each product area or mailbox to its own repository and label set.
Is field mapping included, or extra?
It comes with the fee. Our Help Scout GitHub field mapping service produces a short document that pairs each Help Scout field with its GitHub destination.
Can it follow how our team really works on the Help Scout to GitHub route?
Absolutely. We shape a custom Help Scout workflow for GitHub around your rules, acting as your Help Scout GitHub integration consultant. It begins at $855.
What if a permission or scope is withdrawn on the Help Scout to GitHub route?
We document each dependency. When a platform alters something, only the records touching it pause, and you are told which. Fixes beyond the review period are priced on their own.
Give engineers one issue per bug, with every reporter linked
Give us the rule that decides what moves and we will build, test and document the way you automate Help Scout data to GitHub. Packages start at $855.
- From $855, paid once
- One issue per bug
- Both sides linked
- No monthly fee from us