The adduce product
From product signals
to your next decision.
Your analytics show a change. Your customers describe a problem. adduce brings the evidence together so you can investigate what matters and decide what to do next.
The case for a clearer checkout
Illustrative data · Product workflow
Connect
[1] PostHog
Checkout completion
64% 52%
[2] Intercom
“I got to the payment step before I could see the full price.”
Synthesize
Finding
Checkout completion fell.
−12points
Customer feedback points to price visibility as a question to investigate.
A possible explanation. Causation is not established.
Inspect the findingAct
Draft brief
Make the total clear before payment.
Show the selected plan and full total before the card step.
Cites [1] PostHog · [2] Intercom
Ready for your team to review.
Read the example briefFollow one checkout problem through all three stages. All example data and quotes are illustrative.
Connect
One problem.
More than one perspective.
Bring product analytics, customer feedback, and error data into the same project. Each source adds a different part of the story.
In this example, PostHog shows a drop in checkout completion. Intercom conversations give you a reason to look more closely at how prices are presented.
Explore ConnectPostHogCheckout completion fellA funnel tells you where to look.
Checkout started → payment completed. Previous week: 320 of 500 sessions (64%). Current week: 260 of 500 sessions (52%). The same funnel definition is used in both windows.
This shows a change in completion, but does not explain its cause.
IntercomCustomers describe the frictionConversations put the change in context.
“I got to the payment step before I could see the full price. I went back to check which plan I needed.” An illustrative excerpt from one of 12 checkout-related conversations in the current week.
These conversations describe customer experience; they do not represent every person who abandoned checkout.
Expand a source to inspect the example.
Synthesize
A finding you can question.
See what changed, inspect the supporting sources, and investigate the explanation. Confidence reflects the evidence behind a finding.
Explore SynthesizeInspect the evidence
Follow the citations. A serious issue can matter even when only one source reports it.
Ask a focused question
Investigate a specific change, or use ongoing monitoring to keep track of the metrics that matter.
Keep uncertainty in view
Related signals can suggest where to look. They do not, by themselves, prove what caused the change.
More customers are leaving checkout.
Previous week
64%
Current week
52%
Completion fell by 12 percentage points. Checkout conversations suggest that price visibility deserves investigation.
What remains uncertain
The feedback suggests a possible explanation. It does not establish that price visibility caused the drop. Check device, traffic mix, and payment errors before deciding.
Act
Bring the reasoning
into the work.
Turn customer evidence into a draft brief with the problem, proposed change, citations, and open questions. Your team reviews the case and decides what happens next.
When you are ready to hand work over, you can send a theme to a supported issue tracker with its evidence in the issue body.
Explore Act- LinearBeta
- JiraBeta
- GitHub IssuesBeta
You initiate the handoff. Your team owns implementation.
Make the total clear before payment.
- Problem
- Fewer checkout sessions reach payment. Customers describe uncertainty about the total and which plan to choose. [1] [2]
- Proposed change
- Show the selected plan and full total before the card step. Treat this as a proposal to validate with product and engineering.
- Open questions
- Is the drop concentrated on mobile? Did the traffic mix change? Are payment errors contributing?
Review the evidence. Agree the scope. Decide the next step.
Put your next decision
on firmer ground.
Start with the tools you already use. Bring the evidence into one project and build the case for what comes next.