Customer feedback in five tools. One evaluation engine.
Tech teams drown in feedback signal — Intercom, GitHub issues, Slack threads, customer calls, hackathon decks. Sparqbox sits above the collection layer and answers the only question that matters: which of these ideas should we actually build?
Three problems we hear from PMs every week.
Five tools, no source of truth
Sales hears one thing in calls. Support sees another in tickets. Engineers track their own pain in GitHub. There's no single place where all signal is evaluated against the same criteria.
Engineering vs product backlog wars
Tech debt vs new features vs customer requests. Without weighted scoring, the loudest stakeholder wins, not the highest-impact idea.
Hackathon ideas die after demo day
Internal hackathons produce real ideas. They get applauded on Friday. By the next sprint planning, nobody remembers the one that mattered.
Weighted scoring for the ideas that matter, automation for the ones that don't.
Configure categories per source — customer feature requests, internal product ideas, technical improvements, hackathon outputs. Each gets weighted criteria (customer impact, effort, strategic fit, revenue). AI drafts a first review and surfaces duplicates from past submissions. Humans decide.
Slack-native submission
Slack notifications and a /sparqbox slash command let teams submit without leaving where they work.
Duplicate detection
AI flags when a new idea overlaps with a past one — including ones already approved or rejected — so you don't re-litigate the same call.
Open API
Sync approved ideas to Linear, Jira, or your roadmap tool via webhooks. Keep your engineering workflow intact.
Real categories from tech pilots.
Customer feature requests
Three enterprise customers asked for SAML SSO this quarter. Sparqbox surfaces the pattern and weighs it against revenue impact.
Internal product ideas
Our PM thinks we should add a usage-based pricing tier. Score it against strategic fit, effort, and ARR impact before the next planning cycle.
Technical debt
Migrate the auth service off Express before adding more endpoints — score against blast-radius and ongoing engineering drag.
Hackathon outputs
The internal AI demo from Q1 — score it 90 days later when the team has perspective, instead of in the post-demo high.
Quick answers.
How does this differ from a feedback tool like Productboard or Canny?
Those collect feedback. Sparqbox evaluates it. We score against weighted criteria you define and produce an automatic decision per category. Plenty of tech orgs run both — collection in Productboard, evaluation in Sparqbox.
Can the AI evaluate technical ideas, not just customer-facing ones?
Yes. Criteria are fully configurable. For tech debt you'd typically weight effort, blast radius, and engineering drag — not customer impact.
Does it integrate with Linear / Jira / Notion?
Slack notifications and SSO are on Growth. Linear/Jira sync via webhooks lands Q3 2026 on the Scale tier. CSV export covers most workflows today.
How does the AI handle duplicate ideas?
Every new submission is checked against the embeddings of past ones. If it's >80% similar to an existing idea, the submitter sees the link and can either confirm it's a duplicate or add their context to the original.
Every idea deserves an answer.
Give your team the one thing a suggestion box never will: a real decision, every time.
