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Client Lenz

Customer evidence.
Built into the decision.

Bring interviews, support themes, and research into one reviewable decision. See what supports it, what challenges it, and what to validate next.

One decision, brought into focus Illustrative example
Interview 04“I need to know
the request was
received.”
Combined evidenceClear status.
Unproven recovery.
Provisional decisionKeep a human route.
Interview 04 / Operations

“I need to know the request was received.”

A need for confirmation. Not yet a case for full automation.

Should we remove the human handoff?

Illustrative workspace
SourceCustomer evidenceWhat it supports
01Operations
“I need to know the request
was received.”
Confirmation

Make progress visible
after a request.

02Handoffs
Repeat contact.
No clear next owner.
Ownership

Give customers a clear
next point of contact.

03Exceptions
Exceptions return
to a manual queue.
Evidence boundary

Keep a route back
to a person.

Proposed decision

Automate the routine.
Keep the way back.

Still to validate

Can customers recover from
an exception on their own?

Illustrative evidence workspace

The evidence behind the decision.

A worked example using three illustrative sources. These are sample excerpts, not findings from a customer study.

  1. 01 · Interview 04 / Operations

    “I need to know the request was received.”

    After submitting a request, the next step is unclear. This supports confirmation and a visible next owner.

  2. 02 · Support analysis / Handoffs

    Repeat contact. No clear next owner.

    Customers get back in touch after a handoff. A clear status and ownership could reduce uncertainty.

  3. 03 · Journey map / Exceptions

    Exceptions return to a manual queue.

    The routine can continue automatically; the evidence does not establish whether customers can recover from exceptions independently.

Two themes: confirmation and ownership.

These sources offer partial support for the routine path. Validate the exception path directly with customers before removing human support.

The evidence exists.
Bring it into the decision.

Interviews, support themes, and operational context often sit apart. Client Lenz connects them so a team can see the reasoning, challenge an assumption, and choose what to validate next.

How Client Lenz works

From source material
to a defensible decision.

Four connected tools turn existing research into a working decision layer. Select a step to explore the illustrative example.

Persona library Evidence confidence visible

Maya · Operations Manager

Enterprise customer · High evidence confidence

Core goalKeep operational work moving with less coordination overhead.
Likely needClear status, accountable owner, and expected next step.
Research gapValidate differences between central teams and local users.

One evidence base. Six perspectives.

Ask a better
next question.

Explore how each team frames a decision, and how an evidence-backed persona might respond.

Interactive illustration · Select a team and a persona.

Client Lenz
Interview a persona
Test a roadmap bet before it ships
What would make you abandon this workflow and contact support?
I would leave the digital route when I cannot confirm the request was received, the next owner is unclear, or I cannot recover from an exception. Customer interviews Support themes Product analytics
Reality check
Strong evidence fit2 gaps need validation
Evidence over opinion

An answer is only as useful
as the evidence behind it.

Client Lenz keeps source coverage, confidence, contradictions, and research gaps visible instead of presenting synthetic certainty.

See what supports each answer.

Client Lenz shows teams exactly how well each claim is supported, and turns the open questions into the research worth doing next.

Source-linked evidence themes Confidence attached to personas and decisions Clear next questions worth validating

Your evidence is already worth more than you think.

Connect research repositories such as Dovetail, EnjoyHQ, or Condens alongside customer interviews, analytics, support themes, CRM context, and operational process evidence.

Research repositories: projects, highlights, tags, and docs Product analytics and customer-support signals Commercial, implementation, and workflow context
Comparison

Go beyond finding evidence.
Make a decision with it.

Finding a passage is the beginning. Compare a search-led workflow with a decision record that keeps the reasoning, evidence gaps, and next questions together.

After: what changes with Client Lenz.
Search-led workflow

Search a repository and return the passages that match your query, leaving interpretation to you.

Client Lenz

Answers, with the reasoning attached

Client Lenz returns a position on the decision you asked about, and shows the evidence and confidence behind it.

Search-led workflow

Review the search results, then identify missing evidence yourself.

Client Lenz

Make the missing evidence explicit

Where evidence is missing, Client Lenz says so and proposes the validation questions that would close the gap.

Search-led workflow

Reframe the same findings for each team in separate documents.

Client Lenz

Six team lenses on one evidence base

Product, UX, client experience, customer success, operations, and service design each get the framing their work needs.

Search-led workflow

Gather relevant passages from the tools where your evidence lives.

Client Lenz

Works on the evidence you already hold

Connect Dovetail, EnjoyHQ, Condens, analytics, support themes, and CRM context where they already live.

Working together

Start with one decision.
Build from there.

The first engagement focuses on a live product or service decision and the evidence your team already has.

Design Partner Pilot

€5k–€10k / pilot

Validate Client Lenz against a real decision before a wider rollout.

  • Connect an approved research repository
  • Create an initial evidence-backed persona set
  • Use Client Lenz on one active initiative
  • Measure preparation time, reuse, and decisions affected

Business Workspace

From €1.5k / month

Shared customer evidence across multiple teams and active initiatives.

  • Shared evidence workspace
  • Persona interviews and concept checks
  • Research and CRM integrations
  • Team governance and evidence controls

Questions,
answered.

How Client Lenz fits into your research.

No. It helps your team reuse existing research, question assumptions, and decide what to validate with customers next.

Explore Client Lenz

Try the demo workspace.

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