Respan for PMs
Track AI quality, costs, and user behavior — without writing code or filing engineering tickets. Self-serve dashboards, evals, and prompt editing in one place.
Proven at scale
Used by product teams managing AI features at startups and enterprises.
What you get
Self-serve tools that give you visibility and control over AI products — without depending on engineering for every question.
Quality dashboards — no SQL required
See evaluation scores, error rates, and quality trends for every AI feature. Updated in real-time, no queries to write.
Cost breakdowns by feature and user
Know exactly which AI features and user segments drive LLM spend. Make cost-quality tradeoffs with actual data.
Search any conversation
Find specific user interactions by searching content, user ID, quality score, or topic. Full context in one click.
Edit prompts from the dashboard
Change system prompts, preview with test inputs, and publish — live in seconds. No PR, no deploy, no waiting.
A/B test prompt variants
Split traffic between prompt versions. Compare quality scores and user behavior across variants with real data.
Run evals without code
Set up quality checks using built-in templates: hallucination detection, relevance, tone, safety. Results tracked automatically.
Set up quality alerts
Get notified when quality drops, costs spike, or error rates increase. Catch regressions before users notice.
Generate stakeholder reports
Export quality and cost reports. Show AI feature ROI with concrete metrics — not anecdotes.
How PMs use Respan
Daily monitoring
- →Check quality dashboard for regressions
- →Review cost trends by feature and model
- →Search for conversations flagged by evals
- →Monitor user satisfaction vs AI quality scores
Iteration
- →Edit a prompt to improve tone or accuracy
- →A/B test a new system prompt against the current one
- →Review eval scores before and after changes
- →Roll back a bad prompt version in one click
Reporting
- →Export weekly quality summaries for leadership
- →Track quality SLAs for enterprise customers
- →Compare quality across different AI features
- →Show cost efficiency improvements over time
How it works
Engineering adds the SDK once. After that, everything is self-serve from the dashboard.
Engineering adds the SDK
A one-time, two-line integration. After this, every AI interaction is logged automatically.
→ All data flowing
Open the dashboard
Quality metrics, cost breakdowns, and usage trends are available immediately. No configuration needed.
→ Real-time visibility
Set up evaluations
Use built-in eval templates to check hallucinations, relevance, and tone. No code required.
→ Automated quality scores
Edit and test prompts
Update prompts from the dashboard. Preview with test inputs. A/B test variants against live traffic.
→ Data-driven prompt improvements
Report and decide
Export quality and cost reports. Track trends over time. Make model and prompt decisions with data.
→ Informed product decisions
By the numbers
Zero
code required
Real-time
quality dashboards
1-click
prompt rollback
Self-serve
evals and A/B tests
What PMs access directly
Dashboards & tools
- Quality dashboards
- Cost analytics
- Conversation search
- Prompt editor
- Eval templates
- Alert configuration
Works with any AI stack
- OpenAI
- Anthropic
- Google Gemini
- Groq
- LangChain
- Any LLM provider
Connects to your workflow
- Slack alerts
- Email reports
- CSV/JSON export
- REST API for custom integrations