Self-serve pension tools often fail for a simple reason: people start a plan, hit complexity, and leave before they have a usable answer about retirement income.
Kevin Hollister, founder of Guiide, set out to change that with an online planner focused on turning pension pots into sustainable income. On Regulated Digital, he explains how demand research, journey design, and clearer outcomes shaped a tool more people actually complete.
The practical lessons below cover validating demand before build, raising completion when journeys are too long, anchoring income expectations, offering solve-style answers instead of endless variables, adapting defaults for different pot sizes, and knowing when self-serve should hand off to advice.
Retirement planning tools compete with a basic user question: can I turn what I have saved into an income I can live on, without getting lost in jargon or abandoned steps?
Many people want to tackle that without adviser support, especially for early exploration rather than full drawdown execution.
Before expanding Guiide, the team looked at what people already search for, including terms such as "pension calculator" and "how much money do I need at retirement".
That pointed to sustained interest in converting pension savings into lasting retirement income, rather than stopping at a pot-size estimate alone.
"We looked at Google search terms and found that over 100,000 people a month were searching for help converting their pension pots into a sustainable income for life."
Kevin Hollister, Founder of Guiide
Search volume alone does not prove product-market fit, but it showed where unmet need was concentrated and gave Guiide a clear build target around income conversion.
What Guiide Found in Search Demand
More than 100,000 people a month were searching for help turning pension pots into sustainable retirement income, which shaped the core purpose of the self-serve planner.
Guiide’s first retirement planning flow was detailed and comprehensive, but only 1-2% of users completed their plans.
Feedback and behaviour data showed the issue was not missing features, but friction across too many steps.
The team reduced steps, adjusted the interface, and simplified layout so users could move through the journey without treating the tool like a full advice session.
"It became evident to me really quickly that we had to simplify things down to make that flow through the journey much better."
Kevin Hollister, Founder of Guiide
After those changes, completion rose to around 50%, a sharp shift that underlines how much pension self-serve success depends on journey length and clarity, not feature depth alone.
Completion Before and After Simplification
Guiide moved from roughly 1-2% plan completion to about 50% after cutting steps and simplifying the interface.
Once users stay in the journey, the next design question is whether they have a realistic income target to plan against.
Anchor Income Expectations With Recognised Benchmarks
One of the hardest parts of retirement planning is setting a realistic income target when users have no reference point.
Guiide used anchoring through the Pensions and Lifetime Savings Association (PLSA) Retirement Living Standards, which give benchmark figures for different lifestyle levels.
"Giving people an anchor in terms of a reasonable living standard really helped. If you say to somebody, 'How much do you think you need?' it could be anything. But if you give them a grounding, it's much easier for them to plan."
Kevin Hollister, Founder of Guiide
Recognised benchmarks reduce guesswork and help users compare options without wading through abstract numbers alone.
Why Anchoring Beats Open-Ended Income Guesses
When firms ask "how much do you need?" with no frame, answers vary wildly and planning stalls.
Anchors give a shared vocabulary for minimum, moderate, and comfortable living standards before users adjust inputs.
Replace Open-Ended Variables With Clear Outcomes
Early versions let users tune many custom inputs to model retirement income.
In practice, people wanted actionable answers, not another spreadsheet with sliders.
Choosing The Right Customer Channel?
Read our research on portals, logins, email, and post before deciding how customers should receive important documents.
Guiide now offers three outcome paths - reduce income, increase contributions, or use other assets - so users can align the plan with a clear decision rather than endless experimentation.
"We have three solve buttons now: reduce income, increase contributions, or use other assets. We found that giving people the answer rather than variables to play around with worked really well."
Kevin Hollister, Founder of Guiide
That solve-button model keeps cognitive load lower and matches how many people want pension tools to behave: show the trade-off, then let them choose.
Answers beat adjustable variables when the goal is a decision people will actually make.
Clear outcomes still need to reflect the pension balances and behaviours firms see in live usage.
Tune Defaults for the Pension Pots You Actually See
Guiide was initially aimed at users with smaller pension pots, but usage data showed most users held larger assets, averaging around £300,000.
The product now adjusts default settings across deployments so smaller-pot journeys still get sensible starting points without forcing every user through the same assumptions.
"The demographic using Guiide is probably more wealthy than I had initially envisaged. For users with smaller pension pots, we adapt the default settings to meet their needs."
Kevin Hollister, Founder of Guiide
Digital pension tools need periodic recalibration against real user data, not only the segment founders expect at launch.
Who Was Actually Using Guiide
Average pension assets among Guiide users were around £300,000, which led to differentiated defaults for smaller pots and larger balances.
Guiide is explicit that some users should not proceed alone into execution-only drawdown if they cannot use the tool confidently without support.
"If you can’t use a tool like Guiide unaided, then execution-only drawdown shouldn’t be something you’re doing. You should be seeking advice."
Kevin Hollister, Founder of Guiide
That boundary protects users and keeps the tool honest about what digital self-serve can and cannot replace.
Pension providers and platforms that use email for statements, illustrations, or follow-up actions still need those messages to be easy to open and act on once a customer leaves the planner.
"Pension journeys often stall after the calculator because the next step arrives by email without a clear, safe way to respond. If the follow-up feels harder than the tool, people call support or disengage."
Paul Holland, Founder and CEO, Beyond Encryption (Mailock)
Strong pension self-serve design combines validated demand, short completion paths, anchored expectations, solve-style outcomes, realistic defaults, and a visible handoff to advice where complexity exceeds digital self-serve.
FAQs
Why Do Many Pension Calculators Have Low Completion Rates?
Users often abandon when journeys are long, inputs feel abstract, or the tool does not return a clear next action. Guiide’s experience moving from about 1-2% completion to roughly 50% after simplification shows how much journey design matters.
What Are Retirement Living Standards Used for in Planning Tools?
They give benchmark lifestyle levels so users can anchor income targets instead of guessing. Guiide used PLSA Retirement Living Standards to ground expectations before users adjusted their plan.
What Are Guiide’s Three Solve Options?
Users can choose to reduce income, increase contributions, or use other assets to close a gap between their target and projected retirement income.
When Should a Customer Seek Advice Instead of Self-Serve Drawdown?
If someone cannot use a self-serve tool confidently without help, execution-only drawdown is unlikely to be appropriate. Kevin Hollister’s threshold is that those users should seek regulated advice.
How Should Firms Think About Defaults in Pension Self-Serve Tools?
Defaults should reflect the pots and behaviours seen in real usage. Guiide found higher average balances than initially expected and adapted settings for both smaller and larger pension assets.
Sam Kendall works on digital marketing at Beyond Encryption, helping build B2B marketing activity around research, first principles, and sustainable growth. He writes about marketing effectiveness, positioning, customer communications, and digital culture, with longer-form work published at ATNL.
.svg)
Sam Kendall
.svg)
Previous post