Let Blicc read every message. Ship what your users actually need.
A B2B customer asks for "a yellow button" when what they need is export clarity. A B2C user leaves a 2★ review that just says "stop spamming me." Blicc reads thousands of messages — support tickets, app-store reviews, Reddit threads — groups them by the real problem behind each one, and checks each group against your product analytics. Across the industry, only 0.3% of user signals reach a release within a month. This is how you close that gap.
German company · Hosted in the EUReads from the tools you already run
What every software product team runs into.
You spend the day switching between the support inbox, the app-store reviews, and the analytics dashboard, trying to connect what people say to what they actually do.
Every tool you already pay for still leaves the reading, tagging, and sorting to you.
A B2B customer asks for a specific fix. A B2C user leaves a 2★ review that just says “stop spamming me.” Working out the real problem behind either one is what eats most of your week.
Connect what your team already runs. No migration. No new system of record.
Read-only integrations · PII scrubbed before clustering · EU-hosted.
Every channel your users reach you on, in one inbox.
Connect the tools you already run, from app stores and support desks to the Slack channels where internal requests pile up. Then capture the rest with Blicc's own forms, interviews and widget. Everything lands in one place, tagged and ready to rank.
Sources
14 connected · 11 live · ~2,400/wkIntercom
880/wk
Zendesk
210/wk
App Store
90/wk
Sentry
errors
PostHog
funnels
HubSpot
deals
Slack
120/wk
40/wk
the widget, installed in one line
<script src="https://cdn.blicc.de/widget/v1.js" data-project="prj_northwind" async></script>
Blicc Forms
Ask on purpose
Build a short, themeable form, share a link or QR, and every answer lands in the same inbox, already tagged and clustered.
19 question types · conditional logic · WCAG AA
Blicc Interviews
Turn a call into signals
Upload a recording. Blicc transcribes it, pulls out the requests and pains with the exact quote and timestamp, and files each as a signal.
Audio to transcript · themes · provenance kept
Blicc Widget
Catch it in the moment
One line of script in your app. Your users report an issue in context, with the screen attached, straight into triage.
One-line install · your coding agent does it
Thirty-one tickets become one ranked work item.
AI merges duplicates, then connects a stakeholder interview, a support spike and a production error into the one problem underneath them all.
Signal pressure
volume × reach × recency × sentiment
Recomputed on every new signal, so the list is ranked by what it actually costs you. Not upvotes. Not who shouted loudest.
Export reliability
one ranked item, clustered from 31 signals across three planes
Every work item carries a day of context.
Open a task and the work is compiled: the real voices that justify it, the metrics behind it, and what done looks like. A developer or an agent knows exactly what to do.
CSV export times out beyond 10k rows
Why it matters · real voices
“We literally cannot export our Q4 data. This is blocking our board reporting and I need it fixed today.”
“Third time this week the CSV export timed out. We are stuck.”
“Was great until we grew. Now the export never finishes.”
Activity
What the data says
42 events · 6 teams · 14 days
Definition of done
The difference between a Blicc task and a Jira ticket is that someone is waiting.
An agent can draft the reply to whoever asked. It can never send it.
Agents do the reversible middle: gather, de-duplicate, draft, link the pull request, move the task on. They move fast because a wrong draft costs nothing. You own the two things you cannot take back.
Reversible, every step. The signal underneath stays intact, so nothing an agent proposes can do harm until a human says yes.
The build commitment
Nothing enters the roadmap until a person commits to it.
The outbound message
Nothing goes out to the people who asked until a person approves the words.
This line is in the architecture, not the marketing. It is the reason a regulated team can let agents move fast.
Blicc tells the people who asked when the fix ships.
Most feedback vanishes. The person who sent it never learns if anyone read it. When the fix ships, Blicc drafts the note to everyone who asked, and you approve the words. Then the numbers prove it landed.
Hi Dana, the export timeouts you flagged in our call are fixed in v2.4. Exports up to 500k rows now stream with a progress bar and pick up where they left off after a failure. Thank you for the detail, it shaped the fix.
Six clusters from real feedback. Click through them like it’s your own dashboard.
Clusters
6Close the gap between what to build and how.
Product owners understand what to build and why — the customer and user perspective. Developers know how — the code. But each side misses the other's half, so work gets lost in translation. Blicc closes that gap: it gives product owners the technical insight they were missing, and gives developers the underlying reason a fix matters. Both sides finally see the whole picture, on one task they both trust.
Product owners
- Knows
- What users ask for — and the real problem underneath.
- Blind to
- Whether the code agrees, and how big the fix really is.
Every request arrives with the technical evidence: the metric that moved and the behaviour that proves it.
both ways
Developers
- Knows
- How the system works and what a change actually takes.
- Blind to
- Why a fix matters, and to which users.
Every task carries the reason: the customer problem in their own words, ranked by what it costs.
A customer asks for a “force-refresh button.” Blicc gives engineering the real reason — a PostHog latency regression after v3 on pages with embedded databases — and gives product the technical proof. One task, both sides trust it.
A 2★ review says “stop spamming me.” Blicc gives engineering the why — it’s driving a day-7 retention dip among paying power users — and gives product the behavioural proof. One task, both sides trust it.
The problem behind the feature request.
This is what we push to Jira or Linear. The customer quotes sit on the left, the behavioural evidence on the right, and the hypothesis in the middle.
“Can you add a “force refresh” button to the editor toolbar? It freezes during long sessions.”
“Could we get autosave every 30 seconds? I lost ~40 minutes of work yesterday.”
“Customer asked if there’s a “lite mode” for docs with embedded databases.”
The regression is concentrated on pages with embedded databases. Sentry shows no matching error spike. The root cause sits on the render path, not in a crash.
All three quotes trace back to a single problem: editor latency after v3.0 on pages with embedded databases. Your customers are asking for workarounds, not the fix.
One pattern, three channels, one backlog item.
The v4.2 update made daily nudges the default. Within 48 hours the same complaint surfaced across reviews and social. Blicc clustered it into one theme, tied it to a drop in day-7 retention, and drafted the fix.
“Push notifications 4× a day since v4.2. Turning them off in Settings does nothing.”
“Came here to relax, not to get pinged every hour. What changed?”
“the calm app that won’t stop nagging you 😭 #uninstalled”
Three channels, one cause: the new notification default. 78% of the complaints came from your day-7 power users — not one-day churners. Blicc drafted the toggle-persistence fix, and v4.2.1 shipped on day four.
What software teams ask before they book the 30 minutes.
How is this different from Productboard?
Productboard is a tagging database. You still read and categorise every signal by hand. Blicc groups the raw text for you and checks each group against a behavioural metric from PostHog. You get three ranked, evidence-backed drafts in your roadmap, not a pile of tagged rows waiting for someone to interpret them.
How do you handle customer requests that look unrelated but share an underlying problem?
That is exactly what our HDBSCAN clustering catches. The “add a yellow button” request, the “why is this slow” question, and the “please add autosave” suggestion use no words in common, yet they all point to the same thing. Blicc groups them because each one is asking, in different words, for the same fix. You see one cluster with three quotes instead of three tickets that look unrelated.
How do you know it’s the power user complaining and not a one-time downloader?
Every review is linked to the user’s behavior in your analytics stack at ingest. Blicc cross-references each clustered complaint with the user’s retention cohort, paid status, and feature use, so when you see a cluster, you also see whether it’s hitting your D7+ power users or one-day churners. That’s the difference between a real signal and a vocal exit.
Volume limits — what if we get 10k reviews a week?
10k reviews per week is roughly 43,000 signals a month, which fits the Professional tier (50,000 signals/month). Premium covers 20,000/month, about 4,500 reviews a week. Past 50k/month, Enterprise is unlimited. Overage on the metered tiers is billed per extra signal, and the ingestion pipeline batches in 500-signal chunks, so spikes don’t break it.
Auto-translate for non-English reviews?
Yes. We detect language at ingest, keep the original, and run clustering on the English embedding. Your PMs read translated quotes; the response draft is generated in the original language so your reply stays native.
How do you handle review-bombing?
Every cluster is scored against a 14-day baseline. If a theme spikes >5x the baseline in <24h, it gets a review-bomb flag, we surface the pattern separately from organic signal and let you decide whether to count it. We do not auto-delete or suppress.
What about PII and GDPR?
We scrub emails, names, handles, phone numbers and IP addresses before the text ever reaches the clustering model. That scrub runs inside our EU-hosted pipeline, and nothing leaves the VPC in the clear. For reply drafts we fetch the handle on-demand over the source API and never persist it. We sign a DPA with every pilot customer — ask for the data-flow diagram and we will send it before the call.
Is there a self-hosted option?
Not yet. Today Blicc runs as managed SaaS on EU infrastructure in the Frankfurt region. A self-hosted option is on the roadmap for enterprise customers. If that is a blocker for your security team, tell us on the intro call and we will scope a private-cloud deployment.
See Blicc on your data.
30 minutes. We connect one of your channels live and leave you with three draft tasks.